You'll act as the bridge between complex business challenges and innovative technical solutions. You will challenge the status quo, lead with AI, and guide stakeholders through AI and digital transformations to ensure every dollar spent on technology delivers measurable business value.

Core Responsibilities

• Executive & Stakeholder Discovery: Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• Process & Value Stream Design: Map 'As-Is' and 'To-Be' value streams and business processes, identify bottlenecks and automation/AI opportunities, and quantify benefits.
• Requirements for Data, AI & GenAI: Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria.
• Delivery, Change & Outcomes: Navigate complex organizational hierarchies and goals to build consensus, support experimentation and rollout, and partner with architects and developers.
• AI-Enabled BA Practice & Client Relationships: Use Generative AI tools to accelerate analysis, documentation, and solution design, and establish strong customer relationships.

Qualifications

• 6+ years of experience in business analysis or product development in the data and analytics industry.
• 4+ years of experience in a client-facing consulting environment.
• Demonstrated ability to facilitate interviews and workshops, translate ambiguous needs into clear requirements, and exceptional communication and presentation skills.
• Expertise in Agile life cycles and tools, hands-on experience leveraging AI, and understanding of adoption and change management approaches.

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Solutions Architect – Managed Services to join our Elastic Platform Operations (EPO) team. In this role, you will lead the design, implementation, and ongoing optimization of cloud-native data platforms on Snowflake, AWS, and Azure for our managed services clients, ensuring they are secure, scalable, and aligned to strategic business goals. You will collaborate closely with clients, internal engineering and support teams, and practice leadership to deliver high-quality solutions, maximize platform ROI, and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive end-to-end solution architecture, design, and implementation of large-scale, cloud-native data platform projects on Snowflake, AWS, and Azure for managed services customers.
• Translate business and technical requirements into secure, scalable platform solutions, including migrations from legacy platforms (e.g., Redshift, Azure Data Warehouse), integration of data lakes and data warehouses, and performance optimization of enterprise data workloads.
• Ensure engagements are delivered on time, within scope, and with measurable business value by proactively optimizing platform performance, reliability, and costs through automation, monitoring, and continuous improvement.

Collaboration & Leadership

• Collaborate with cross-functional partners across sales, engineering, and support, as well as client stakeholders including executives, to align platform strategies and roadmaps with business goals and ensure high customer satisfaction.
• Provide hands-on technical leadership to delivery teams during migrations, integrations, incident response, and performance tuning, guiding engineers through complex implementation challenges.
• Ensure high quality in deliverables through robust architecture standards, documentation, testing, and governance, including the implementation of strong security and data governance practices on client platforms.
• Partner with practice and account leaders to manage multiple customer engagements simultaneously, preventing resource overruns, maximizing platform ROI, and reinforcing phData’s Operational Maturity Framework with clients.

Practice & Firm Contribution

• Contribute to the evolution of phData’s Elastic Platform Operations offerings by promoting the Operational Maturity Framework, codifying best practices, and feeding lessons learned back into accelerators, templates, and playbooks.
• Mentor and develop junior engineers, sharing best practices in cloud-native architecture, operations, and consulting to foster a culture of continuous learning and excellence.
• Support pre-sales and scoping efforts as needed by partnering with sales and practice leadership to shape viable managed services solutions that balance technical feasibility, risk, and client value.

About You

You are a strategic, client-focused solutions architect who enjoys building and operating scalable, cloud-native data platforms that solve complex business problems. You are comfortable leading technical teams, managing multiple projects, and operating in distributed, global environments where outcomes and continuous improvement matter more than routines. You bring a hands-on mindset, strong communication skills, and a passion for aligning data infrastructure with long-term business goals.

Required Qualifications

Experience

• 8+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms and solutions, ideally in a consulting or managed services environment.

Technical / Functional Skills

• Deep expertise with modern enterprise data platforms such as Snowflake, Amazon Redshift, and Azure SQL Data Warehouse, including strong skills in performance tuning and troubleshooting.
• Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka.
• Proven ability to build and operate scalable, secure data platforms aligned to strategic business goals, with a focus on operational excellence and continuous improvement.
• Advanced proficiency in Microsoft SQL and SQL-based workloads, including writing, debugging, and optimizing complex queries.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines and tooling (e.g., Bitbucket, GitHub).
• Hands-on experience with data integration and ingestion tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Strong client-facing communication skills, with experience presenting architectural recommendations to executive stakeholders and creating clear, detailed solution documentation.
• Experience delivering and managing multiple concurrent customer engagements in a professional services or consulting environment, ensuring timely delivery and optimized operations.
• Ability to serve as a trusted advisor on data platform strategy, helping clients navigate technical trade-offs to meet business goals.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams, including sales, engineering, and support, to ensure seamless project delivery and high customer satisfaction.
• Proven track record of taking ownership of outcomes, anticipating upstream data and platform changes, and proactively managing risks to minimize impact on users and systems.
• Experience mentoring and guiding junior engineers and contributing to a culture of continuous learning and operational excellence.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Snowflake SnowPro Core certification or equivalent cloud/data platform certifications.
• Experience using Python for task automation, tooling, and operational efficiency in cloud-native environments.
• Hands-on experience with automated database deployment and CI/CD frameworks such as Flyway or Liquibase.
• Advanced degrees or additional relevant certifications in data, cloud, or software engineering disciplines.
• Experience supporting or implementing managed services offerings for cloud-native data platforms and working with global, remote teams.

Location & Time Zone Expectations

This role is based in LATAM and operates primarily in Eastern US time zone with significant overlap with Central time zone.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

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We are looking for a Solutions Architect to join our Data Engineering team.

In this role, you will partner directly with clients to understand business objectives, architect scalable Data & AI solutions, and lead engineering teams through successful delivery from discovery through production deployment.

You'll combine deep technical expertise with strong consulting skills to solve complex technical challenges, advise technical leaders, and communicate effectively with executive stakeholders.

Key Responsibilities:

• Lead discovery sessions to uncover business goals, technical requirements, and solution constraints, while translating complex client challenges into scalable, production-ready Data & AI architectures.
• Serve as the primary technical advisor throughout client engagements.
• Provide clear recommendations on architecture, tooling, implementation approaches, and technical trade-offs, while developing architecture diagrams, design documentation, implementation plans, and technical standards.
• Lead and own the successful delivery of enterprise Data & AI solutions from architecture through production deployment and guide engineering teams through implementation while proactively identifying technical risks and removing delivery blockers.
• Leverage AI throughout the software delivery lifecycle to improve solution design, engineering productivity, documentation, testing, troubleshooting, and client outcomes while guiding clients on practical AI adoption.
• Mentor engineers through architectural guidance, technical coaching, design reviews, and contribute to hiring, onboarding, and technical enablement.

Required Qualifications:

• 8+ years of experience in Solutions Architecture, Data Engineering, or related consulting roles.
• Proven experience designing and delivering enterprise Data & AI solutions into production within cloud environments.
• Demonstrated experience delivering with AI, leveraging modern AI technologies throughout the software delivery lifecycle to improve solution design, engineering productivity, code quality, testing, documentation, troubleshooting, and client outcomes.
• Strong consulting experience leading technical discovery, solution architecture, and client-facing engagements.

Technical / Functional Skills:

• Hands-on experience with many of the following cloud and data platforms: Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, Google Cloud Platform.
• Hands-on experience with data engineering technologies: Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar technologies.
• Experience with modern engineering practices including: CI/CD, Infrastructure as Code, observability, and monitoring.
• Experience incorporating AI into day-to-day engineering and solution delivery using technologies such as: Anthropic Claude, OpenAI, GitHub Copilot, Microsoft Copilot, Google Gemini, Snowflake Cortex AI, AWS Bedrock, LangChain, LangGraph, or similar enterprise AI development platforms and frameworks.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

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We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Role Overview

We are looking for a Senior DevOps Engineer to join our Elastic Platform Operations (EPO) team.

In this role, you will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for our managed services clients. You bring deep DevOps expertise , infrastructure-as-code, CI/CD, cloud platform engineering, automation, and client-facing delivery , and you will apply it in data platform contexts, developing data warehouse and pipeline depth as you go.

You will work closely with Solutions Architects, engineering teams, and client stakeholders to implement scalable, well-governed solutions that drive measurable business value. Familiarity with data platforms like Snowflake or Redshift is a plus, but it is not a prerequisite , what matters most is your cloud engineering foundation and your ability to deliver in a consulting environment.

Key Responsibilities

Client Delivery

• Own and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients , including environment configuration, infrastructure automation, and platform reliability.
• Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practices.
• Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform delivery.
• Monitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact as you develop depth in data platform patterns.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Collaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagements.
• Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and Azure.
• Ensure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processes.
• Partner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user base.

Practice & Firm Contribution

• Contribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform Operations.
• Mentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologies.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

Additional Responsibilities (Senior Level)

• Act as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimization.
• Lead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvements.
• Mentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvement.
• Help define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed services.

About You

You are a senior cloud/DevOps engineer who thrives in a structured, client-facing environment and takes pride in building reliable, automated, and well-governed platform infrastructure. You are comfortable operating across AWS and Azure, writing infrastructure-as-code, and driving CI/CD-enabled delivery at scale. You may not have deep data warehouse or Snowflake experience today , that is expected, and we will invest in building it , but you bring the platform engineering fundamentals that underpin everything we do for our clients. You are comfortable in distributed, global teams and take full ownership of your engagements.

Required Qualifications

Experience

• 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure , ideally including client-facing or consulting delivery experience.

Technical / Functional Skills

• Strong cloud platform experience across AWS and/or Azure, including core infrastructure services (e.g., S3, ADLS, IAM, networking, compute, secrets management).
• Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) , including authoring, extending, and maintaining IaC in team environments.
• Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deployments.
• Proficiency in Python for scripting, automation, and operational tooling in cloud-native environments.
• Working knowledge of SQL , ability to read, write, and debug queries to support platform troubleshooting and data flow validation.
• Working knowledge of Unix/Linux environments and common system administration and scripting concepts.
• Strong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform services.
• Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output.
• Ability to describe specific engineering tasks completed with AI assistance.

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services, consulting, or managed services environment.
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion.
• Strong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholders.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and support.
• Proven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervision.
• Openness to learning new technology stacks , including data platform technologies , and helping up-skill other team members.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field , or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience providing operational or engineering support for a cloud-native data warehouse such as Snowflake, Amazon Redshift, or Azure Synapse , including configuration, administration, or performance tuning.
• Snowflake SnowPro Core certification or equivalent cloud/data platform certifications (AWS Solutions Architect, Azure Administrator, etc.).
• Experience with data integration and streaming technologies such as Spark, Kafka, Fivetran, Matillion, HVR, NiFi, AWS Database Migration Service, or Azure Data Factory.
• Experience monitoring and supporting ETL/ELT data pipelines and scheduled data jobs in a production environment.
• Familiarity with workflow orchestration tools such as Apache Airflow or AWS Managed Airflow.
• Experience with RDBMS platforms such as Oracle or Microsoft SQL Server in an operational or engineering context.
• Experience with database deployment and schema migration frameworks such as Flyway or Liquibase.
• Familiarity with ITIL processes and working in SLA-driven support environments.
• Prior experience working in a managed services or Elastic Operations environment supporting multiple clients.

Location & Time Zone Expectations

This role is based in LATAM and operates primarily supports clients in Eastern and Central time zones in the US.

• We are a remote-first company, and you should be comfortable working with a distributed global team.
• Some flexibility may be required to collaborate across time zones with colleagues and clients.
• Client needs may occasionally require flexibility in working hours to support key milestones or workshops.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and a clear pathway toward Solutions Architect and senior platform roles.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

LATAM:

• Remote-First Work Environment

• Casual, award-winning small-business work environment

• Collaborative culture that prizes autonomy, creativity, and transparency

• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)

• Accelerated learning and professional development through advanced training and certifications

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Why phData?

• Snowflake Implementation Partner of the Year , 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner , the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Required Experience:

• At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
• Ability to develop end-to-end technical solutions into production , and to help ensure performance, security, scalability, and robust data integration.
• Programming expertise in Java, Python and/or Scala
• Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
• SQL and the ability to write, debug, and optimize SQL queries
• Client-facing English written and verbal communication skills and experience
• Create and deliver detailed presentations
• Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
• 4-year Bachelor's degree in Computer Science or a related field

Preferred Experience:

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
• Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
• Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
• Multiple data sources (e.g. queues, relational databases, files, search, API)
• Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
• Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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This is a highly client-facing role. You will operate as a Program Manager for data and AI programs, accountable for both execution and client outcomes.

Core Responsibilities:

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Core Requirements:

• Proven experience leading client-facing programs and working directly with executive stakeholders, with strong written and verbal communication skills.
• 5+ years of Technical Program / Program Management experience in a consulting or professional services environment, managing timelines, scope, budgets, and resources for data and AI programs.
• Experience running multi-workstream initiatives across data platforms, analytics, cloud, and/or AI/ML, with strong command of Agile/iterative delivery and solid understanding of Waterfall.
• Background in AI, data, and analytics projects, with familiarity across modern data stacks such as Snowflake, AWS/Azure/GCP, modern BI, and ML/LLM platforms, including associated risks and trade-offs.
• Demonstrated ownership of performance across a project portfolio, including billable utilization and management of multiple customers concurrently.
• Proficiency in Jira, Azure DevOps, MS Project, and Excel, along with strong written technical documentation skills.
• Experience leading remote, multi-geo teams.
• Bachelor’s degree in IT or a related technical field.
• PMP and CSM certifications are strongly preferred.
• Willingness to travel up to 10% per month

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As a Machine Learning Solutions Architect, you will design and lead practical, production-ready Applied AI solutions that connect data, cloud, and AI technologies to deliver measurable business impact. You will collaborate closely with client stakeholders, senior architects, and cross-functional engineering teams to shape architectures, guide implementation, and move AI initiatives from experimentation into reliable production systems.

Key Responsibilities:

• Lead the design of end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows that are aligned to client goals, constraints, and success criteria.
• Translate ambiguous business problems into clear use cases, technical requirements, solution options, and implementation plans that connect AI capabilities to measurable outcomes.
• Guide and support delivery teams through discovery, prototyping, implementation, deployment, and productionization, ensuring solutions meet standards for reliability, scalability, security, and governance.
• Partner with client stakeholders, senior architects, and sales teams to run discovery and architecture workshops, shape roadmaps, and contribute to proposals, statements of work, and technical demonstrations.
• Contribute to practice assets by documenting architecture decisions, patterns, reference designs, and lessons learned that can be reused across clients to accelerate high-quality Applied AI delivery.

About You: You are a technically rigorous, client-focused architect who enjoys solving complex, ambiguous problems in an outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications:

• Experience: 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years leading AI, ML, MLOps, or data-intensive solutions in production.
• Technical / Functional Skills: Strong understanding of Applied AI and modern ML systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, semantic retrieval, and agentic architectures.
• Proven experience architecting and operationalizing production AI/ML systems, including model deployment, inference, monitoring, evaluation, retraining, and governance.
• Hands-on experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, at least one major cloud provider (AWS, Azure, or Google Cloud), and tools like dbt plus modern AI platforms (for example, Anthropic or OpenAI).
• Proficiency in Python and strong working knowledge of SQL for building, integrating, and troubleshooting data- and AI-intensive solutions.
• Ability to evaluate technology choices and tradeoffs, integrate AI solutions with enterprise data platforms and applications, and apply CI/CD and productionization practices for AI/ML systems.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

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We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data. In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value.

Key Responsibilities:

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client's business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You: You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

Required Qualifications:

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.
• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Benefits at phData LATAM:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications

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