We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

Responsibilities:

• Effectively lead and motivate client technical teams providing technical leadership for the design, implementation, and ongoing operational support of modern data platforms.
• Maintain knowledge of current modern data technology to guide and mentor team members.
• Collaborate with technical teams to build Epics, Stories, and Tasks to mature and improve customer data platforms.
• Provide Delivery Leadership for multiple customer accounts simultaneously.
• Develop strong relationships with sponsors and stakeholders.
• Ensure the team is trained and prepared to deliver.
• Actively participate in major incident response.
• Deliver feedback and make improvements to the overall service.
• Be an ambassador of company core values.

Qualifications:

• At least 5 years of experience in Technical Management, IT Architecture, Customer Relationship Management, Project Management, and/or Delivery Management.
• Passion and curiosity for learning new technologies and skills.
• Knowledge of technology trends.
• Experience with Amazon Web Services (AWS) or Microsoft Azure.
• Technical knowledge deploying and managing cloud/data technologies such as Snowflake, Redshift, Synapse, Fivetran, Qlik, Matillion, DBT, StreamSets, Airflow, NiFi, Cloudera, EMR, Databricks.
• Passion for leading a technical operations team.
• Experience scoping activities on large-scale, complex technology infrastructure projects.
• Experience owning Incident and Escalation processes.
• Previous experience working directly with global customers and business partners.
• Confidence, excellent communication skills, and customer relationship management skills.
• Strong leadership skills.
• Professional track record of creating, challenging, and improving processes and procedures.

Why phData? We Offer:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities.

#LI-DNI

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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 Data Engineer to join our Data Engineering team. In this role, you will design, build, and productionize end-to-end cloud data solutions that are secure, scalable, performant, and robustly integrated across systems. You will collaborate closely with client stakeholders, data engineers, architects, and engagement leaders to deliver high-quality solutions and advance phData’s delivery excellence.

Key Responsibilities

Client Delivery

• Own and drive the design, development, and deployment of end-to-end data solutions and pipelines for enterprise clients.
• Translate business requirements into technical data architectures, integration patterns, and models that align with phData methodologies, standards, and best practices.
• Ensure solutions meet performance, security, reliability, and scalability requirements in production environments.
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients.

Collaboration & Leadership

• Collaborate with cross-functional partners including data engineering, software engineering, analytics, and platform teams to deliver successful client engagements.
• Provide technical leadership during design and code reviews, proof-of-concepts, and implementation workshops.
• Ensure high quality in deliverables through testing, documentation, and adherence to governance and change management processes.
• Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize reusable patterns and components.

Practice & Firm Contribution

• Contribute to internal initiatives such as developing accelerators, templates, playbooks, and best practices for cloud data platforms.
• Create clear technical documentation, including architectures, roadmaps, and operational runbooks, that can be reused across engagements.
• Share knowledge with peers through mentoring, informal coaching, and internal communities of practice.
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.

About You

You are a client-focused data engineer and problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.

Technical / Functional Skills

• Ability to develop end-to-end technical solutions into production, with a strong focus on performance, security, scalability, and robust data integration.
• Programming expertise in Python and/or Scala for data processing, automation, and orchestration.
• Hands-on experience with core cloud data platforms including Snowflake, AWS, Azure, and/or Databricks.
• Strong SQL skills, including the ability to write, debug, and optimize complex queries.
• Experience creating and delivering detailed technical presentations for client and internal stakeholders.
• Experience producing detailed solution documentation (e.g., POCs and roadmaps, sequence diagrams, class hierarchies, logical system views, and related artifacts).

Consulting / Delivery Skills

• Experience delivering projects for external or internal clients in a professional services or consulting environment.
• Ability to break down complex problems into structured, actionable steps and drive them through to completion.
• Strong client-facing written and verbal communication skills in English.

Collaboration & Ownership

• Demonstrated ability to work effectively with distributed and cross-functional teams.
• Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.

Education:

• 4-year Bachelor’s degree in Computer Science or a related field.

Preferred Qualifications

• Production experience in core data platforms such as Snowflake, AWS, Azure, GCP, Hadoop, and/or Databricks.
• Experience with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL storage systems.
• Experience with modern data integration and streaming technologies such as Spark, Kafka, event/streaming platforms, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, Informatica Intelligent Cloud Services (IICS), Google Dataproc, or similar tools.
• Experience working with multiple data sources (e.g., queues, relational databases, files, search, APIs).
• Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment of data-intensive applications.
• Experience with automated data transformation and data curation using dbt, Spark, Spark Streaming, and automated data pipelines.
• Experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.
• Experience in [specific industry verticals or problem spaces relevant to the role].
• Hands-on experience with [preferred tools, platforms, or methodologies].
• Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
• Contributions to [open source, communities, speaking, writing, or internal accelerators] are a plus.

Location & Time Zone Expectations

This role is based in India and operates primarily in India business hours (IST) with some flexibility for global collaboration.

• 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

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating for company-approved content

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Infrastructure Team Responsibilities:

• Implement connectors to fetch ERP data, ensuring high availability
• Develop and upgrade backend APIs to meet evolving customer requirements
• Design and improve ERP system's data storage, ensuring efficient and secure data management
• Collaborate with teams to design technical solutions, bridging the gap between business needs and technical implementation
• Maintain and upgrade existing services, ensuring smooth operations and evolution
• Work closely with global teams, adapting to varying work hours to ensure seamless data management

Data Feeds Team Responsibilities:

• Develop, optimize, and maintain scalable data pipelines for structured and unstructured data
• Ensure stability, reliability, and high availability of existing data systems and services
• Construct and refine expandable, high-performance data architecture
• Provide high-quality data services to internal users, partnering with various teams
• Design and implement data functionalities with intuitive data visualizations
• Oversee integration and maintenance of collaborative data with third-party clients
• Enforce data governance, security, and compliance best practices

Requirements:

• Bachelor's degree in Computer Science or a related technical discipline from a top-tier institution
• 10+ years of hands-on software development experience
• Deep understanding of computer science fundamentals, data structures, and advanced algorithms
• Excellent proficiency in Python, Golang, or Java, with experience in messaging platforms, relational/NoSQL datastores, and large-scale distributed systems
• Familiarity with microservice architecture, API gateway patterns, and service observability
• Proven track record of building and operating systems with strict latency and reliability requirements

Nice to Have:

• Knowledge of security best practices, authentication/authorization, and performance tuning
• Experience with AI agents/harnesses and DevOps practices

What We Offer:

• Competitive salary and comprehensive benefits package
• Opportunities for growth and learning, with a focus on ownership and self-improvement
• Flexible work arrangements, including remote work options
• Recognition and rewards for outstanding performance

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Responsibilities

• ERP Data Management: Implement connectors to fetch and store ERP data, ensuring high availability and efficient storage.
• Email Processing Management: Own the reliability and scalability of large-scale email processing systems, handling tens of millions of email accounts and hundreds of millions of emails daily.
• Business and Technology/Engineering Liaison: Understand business requirements and design technical solutions to bridge the gap between business needs and technical implementation.
• Backend API Mastery: Implement or upgrade backend APIs to meet evolving customer demands.
• System Maintenance and Architecture Champion: Maintain existing services, perform iterative upgrades, and deploy improvements.
• Global Team Player: Collaborate with US, Singapore, India, and China teams, being flexible with work hours.

Requirements

• Bachelor's degree in Computer Science or a related technical discipline from a top-tier institution
• 12+ years of hands-on software development experience
• Deep understanding of computer science fundamentals
• Excellent in Python, Golang, or Java
• Proficiency with messaging platforms and relational/NoSQL datastores
• Experience in architecture and developing large-scale distributed systems
• Familiarity with microservice architecture, API gateway patterns, and service observability

Nice to Have

• Knowledge of security best practices, authentication/authorization, and performance tuning for high-traffic systems
• Experience with DevOps practices
• Knowledge of AI agent/harness and using AI to improve work efficiency

What We Offer

• Competitive salary
• Comprehensive benefits and perks
• Opportunity for growth and learning
• Flexible work arrangements

This is a fully-remote opportunity based in India, with standard work hours from 8 am to 5 pm IST.

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Infrastructure Team Responsibilities:

• Implement connectors to fetch ERP data with high availability
• Develop and upgrade backend APIs to meet evolving customer requirements
• Design and improve ERP system's data storage
• Collaborate with teams to design technical solutions
• Maintain and upgrade existing services
• Work with global teams, including US, SG, and China

Data Feeds Team Responsibilities:

• Develop, optimize, and maintain scalable data pipelines
• Ensure stability, reliability, and high availability of data systems and services
• Construct and refine expandable, high-performance data architecture
• Provide high-quality data services to internal users
• Design and implement data functionalities with intuitive visualizations
• Integrate and maintain collaborative data with third-party clients
• Enforce data governance, security, and compliance
• Work with global teams, including US, SG, and China

Requirements:

• Bachelor's degree in Computer Science or related major
• 5+ years of backend experience
• Strong programming skills in languages like Go or Python
• Familiarity with data structures, algorithms, and open-source components like MySQL, Redis, or Message Queue
• Experience with ElasticSearch or Spark (for Data Feeds Team)
• Knowledge of cloud infrastructure, such as Kubernetes, Docker, or Azure/AWS/GCP
• Familiarity with ERP systems

What We Offer:

• Competitive salary
• Comprehensive benefits and perks
• Opportunity for growth and learning
• Flexible work hours as a remote employee in India

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Responsibilities:

• Develop comprehensive test plans covering manual, automated, and performance testing
• Create and maintain efficient automated testing frameworks, writing test scripts and implementing automated testing processes
• Accurately record and track defects found during testing and collaborate with cross-functional team members

Requirements:

• At least 7 years of experience in quality assurance or software testing
• 5 years of experience in automated testing and test case design
• Proficient in at least one programming language, such as C, C++, Java, Go, Python, JavaScript, C#
• Experience with automated testing frameworks and tools, such as Selenium, Robot framework
• Familiarity with API testing, performance testing, and database operations
• Strong problem-solving and debugging skills
• Excellent communication skills

What We Offer:

• Competitive salary
• Comprehensive benefits and perks
• Opportunity for growth and learning
• Flexible work arrangements

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As a Senior Data Engineer at YipitData, you will:

• Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
• Build and maintain end-to-end data pipelines.
• Help with setting best practices for our data modeling and pipeline builds.
• Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications.
• Become an expert at solving complex data pipeline issues using PySpark and SQL.
• Collaborate with stakeholders to incorporate business logic into our central pipelines.
• Deeply learn Databricks, Spark, AI, and other ETL tooling developed internally.

You are likely to succeed if:

• You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
• You have 6+ years of experience as a Data Engineer or in other technical functions.
• You are excited about solving data challenges and learning new skills.
• You have a great understanding of working with data or building data pipelines.
• You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
• You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.
• You are eager to constantly learn new technologies.
• You are a self-starter who enjoys working collaboratively with stakeholders.
• You have exceptional verbal and written communication skills.

What we offer:

• Comprehensive benefits, perks, and a competitive salary.
• Vacation time, parental leave, team events, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics.

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Responsibilities:

• Design, build, and maintain advanced Android applications using Kotlin/Java and modern Android frameworks
• Collaborate with product managers and backend developers to define, design, and integrate robust APIs
• Take end-to-end ownership of features,from technical design and development to testing and release
• Conduct code reviews and enforce best practices in performance, security, and maintainability
• Explore new Android technologies continuously and contribute to architecture improvements

Requirements:

• 7+ years of working experience, with 5+ years of hands-on Android development experience with strong proficiency in Kotlin and Java
• Bachelor’s degree or higher in Computer Science or a related field with solid CS fundamentals
• In-depth understanding of Android fundamentals: Jetpack components, multithreading, networking, memory management, and data storage
• Familiarity with architectural patterns such as MVC, MVVM, or VIPER
• Skilled in performance optimization, crash analysis, and power usage tuning
• Experience working with libraries such as Volley, Glide, Lottie, and Firebase (including FCM)

Nice to have:

• Experience with the Google Play submission and review process
• Exposure to email protocols (e.g., SMTP, IMAP)
• Familiarity with Linux environments or backend services
• Experience with hybrid development using React Native

What We Offer:

• Comprehensive benefits, perks, and a competitive salary
• Vacation time, parental leave, team events, learning reimbursement, and more

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As a Data QA Associate, you will be responsible for transforming raw financial and accounting data into accurate business expense insights. You will review transactions and accounting records, validate expense categories, identify bad cases, investigate the root causes of data issues, and help improve the rules and processes used to maintain data quality.

Responsibilities:

• Review and validate accounting data exported from ERP systems, including vendor, invoice, bill, payment, and transaction records.
• Apply accounting knowledge to understand different bookkeeping patterns and determine how transactions should be reflected in expense data.
• Review and correct vendor and spend category mappings.
• Identify and resolve duplicated, incomplete, or inconsistent records.
• Investigate data quality issues and collaborate with data and engineering teams to improve data processing rules.
• Ensure that the final data is accurate and reliable for business expense analysis.
• Ensure compliance with company data security and confidentiality policies.

Requirements:

• Bachelor's degree or above in Accounting, Finance, Business, Statistics, Computer Science, or a related field.
• 0–2 years of hands-on accounting or bookkeeping experience, including relevant internship experience.
• Experience with accounting processes such as transaction categorization, invoice processing, expense review, account reconciliation, accounts payable, accounts receivable, or general ledger entries.
• Hands-on experience using at least one mainstream ERP, accounting, or expense management system.
• Familiarity with accounting standards, the ability to distinguish the company’s accounting categories, and an understanding of company accounting records.
• Experience managing multiple processes in parallel.
• Basic data analysis skills and familiarity with Excel, SQL, or Python are a plus.
• Exceptional attention to detail, problem-solving, and critical thinking abilities.
• Ability to work independently while coordinating with a remote team.
• Excellent written and verbal communication skills in English.

What We Offer:

• Competitive salary
• Comprehensive benefits and perks
• Opportunity for growth and learning
• Flexible work arrangements

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The successful candidate will report to Raghu Somashekar and work closely with Sales leadership, Finance, Legal, Security, and RevOps to structure deals that accelerate revenue while protecting Cresta’s long-term business interests.

Responsibilities:

Deal Strategy & Execution

• Partner with US and international Sales teams to architect and execute complex, high-value enterprise transactions.
• Build creative deal structures, pricing models, and commercial terms that balance speed, risk, margin, and customer experience.
• Own approval workflows and act as escalation owner from first quote through final signature.
• Translate deal data, discount trends, and outcomes into actionable insights.
• Lead win/loss and deal retrospectives to institutionalize learnings and refine deal strategy.
• Ensure deal structures align with revenue recognition principles and company financial goals.

Process & Systems Modernization

• Drive end-to-end improvements across the quote-to-cash lifecycle.
• Define business requirements and partner with systems teams on CPQ, CLM, and Salesforce enhancements.
• Lead UAT and rollout of new deal processes and tooling.
• Represent Deal Strategy & Operations as a key stakeholder on high-priority cross-functional initiatives.
• Standardize and document workflows to enable speed and scale.

Enablement & Advisory

• Provide ongoing training to Sales on pricing, deal construction, and quoting with a strong focus on the why behind the strategy.
• Contribute to and maintain a self-service Deal Strategy Playbook.

Requirements:

• 5+ years of experience in Deal Desk, Deal Strategy, Commercial Operations, Revenue Operations, Legal Ops, or Sales Operations.
• Proven ownership of complex enterprise SaaS deals from quote to cash.
• Hands-on experience administering or optimizing CPQ tools.
• Strong Salesforce fluency across quoting, approvals, and deal reporting.
• Solid understanding of enterprise SaaS contracting concepts (order forms, MSA, DPA, SOW).
• Exceptional communication skills with high emotional intelligence; able to influence without authority.
• Comfortable navigating ambiguity and making judgment calls in fast-paced environments.
• Based in India, working standard IST business hours (8:30 AM to 6:30 PM) with availability for one late-day team call per week.

Nice to Have:

• Salesforce Admin experience or certification.
• Legal, contract management, or pricing strategy background.
• Prior sales or customer-facing experience.

Benefits:

• Competitive compensation, equity, and comprehensive benefits.
• Unicorn with backing from Andreessen Horowitz, Sequoia Capital, and Greylock.
• Strong enterprise traction with 20%+ of customers over $1M ARR.
• 2x+ year-over-year growth and record-breaking quarters.
• Opportunity to operate at the center of commercial strategy and enterprise execution.

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We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams).

This role goes beyond individual deal support,you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments.

Responsibilities

Strategic AWS Engagement & Influence

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams.

• Influence joint account strategy and technical direction for high-priority opportunities.

• Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices.

• Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem.

Complex Deal Leadership & Execution

• Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements.

• Guide customers from early ideation through architecture design, prototyping, and production deployment.

• Act as a technical decision-maker and escalation point, de-risking complex implementations.

• Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.

Solution Architecture & Hands-On Building

• Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services.

• Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption.

• Establish best practices for scalable, secure, and production-ready GenAI systems.

• Ensure solutions are designed for repeatability, extensibility, and partner-led delivery.

Ecosystem Enablement & Scale

• Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos).

• Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

• Mentor and uplift partner technical teams, accelerating their path to self-sufficiency.

• Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement.

Cross-Functional Leadership & Feedback

• Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution.

• Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization.

• Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function.

Requirements

• Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

• Operate as a technical leader and systems thinker, not just an individual contributor.

• Balance hands-on building with strategic influence and scale.

• Know when to go deep technically vs. enable others to execute.

• Build trust quickly with engineers, architects, and executives alike.

• Default to creating repeatable patterns, not one-off solutions.

• Are comfortable owning ambiguous, high-visibility problem spaces.

• Take a long-term, ecosystem-oriented view of impact.

• Are motivated by driving customer and partner success at scale.

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As a Conversational Design, Demo Engineer, you will play a critical role in supporting pre-sales engagements through the design, analysis, and demonstration of Cresta’s AI capabilities. You’ll partner closely with Solution Engineers and Demo Engineering to craft compelling, high-quality conversational experiences that showcase Cresta’s value to prospective and existing customers. Your work will focus on establishing clear business cases for net new and upsell opportunities, using conversation design and data-driven assessments to highlight measurable impact.

Responsibilities: Collaborate closely with Solution Engineers and Demo Engineering to design and deliver high-impact, AI-driven demos, Proofs of Concept (POCs), and Conversation Assessments that clearly articulate Cresta’s value in real-world customer scenarios. Develop and generate high-quality synthetic conversations and AI model behaviors that realistically simulate customer interactions and bring priority use cases to life in pre-sales environments. Conduct in-depth Conversation Assessments and data analyses to uncover opportunity areas, quantify measurable impact, and build compelling business cases for net-new logo acquisition and upsell expansion. Continuously enhance demo environments by strengthening QA/QM frameworks, reporting layers, behavioral configurations, intent mining, metadata generation, and dashboard development to ensure accuracy, realism, and actionable insight.

Qualifications we Value: Strong alignment with Cresta’s culture and values , driven by a genuine desire to make people’s lives easier, even in fast-paced and high-pressure environments. Demonstrates resilience, positivity, and ownership, with the ability to maintain energy and focus when workloads are demanding. Brings a growth mindset, remains coachable, and continuously seeks new ideas to improve collaboration, team dynamics, and collective progression.

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