On this team, you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid's network. You'll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features.

Responsibilities

• Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).
• Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).
• Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.
• Build and operate offline training pipelines and production batch scoring for bank intelligence products.
• Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.
• Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.
• Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.
• Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.
• Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).
• Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.
• Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).
• Mentor engineers and document team standards for ML productization and operations.

Qualifications

• Must-haves:
• Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).
• Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.
• Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.
• Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.
• Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.
• Nice to have:
• Experience in fraud, risk, or marketing intelligence domains.
• Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.
• Experience with graph frameworks, graph feature engineering, or sequence embeddings.
• Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching).

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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Your primary focus will be on building scalable data pipelines using Airflow to orchestrate data workflows that ingest, transform, and deliver data from various sources into Snowflake and Databricks. You will also design and implement data models in Snowflake that support analytics, reporting, and ML use cases with a focus on performance, reliability, and scalability.

In addition, you will develop infrastructure as code using Terraform to automate and manage cloud resources in AWS, ensuring consistent and reproducible deployments. You will monitor data pipeline health and implement data quality checks to ensure accuracy, completeness, and timeliness of data as business needs evolve.

You will also optimize data processing workflows to improve performance, reduce costs, and handle growing data volumes efficiently. Troubleshooting and resolving data pipeline issues, working through ambiguity to get to the root cause and implementing long-term fixes will be a key part of your role.

As a Data Engineer, you will bridge gaps between data and the business by working with cross-functional teams across the US and India office to understand requirements and translate them into robust technical solutions. You will create comprehensive documentation on data pipelines, data models, and infrastructure, keeping documentation up to date and facilitating knowledge transfer across the team.

Requirements:

• 2+ years of data engineering experience with strong technical skills and the ability to architect scalable data solutions.

• Hands-on experience with Python for data processing, automation, and building data pipelines.

• Proficiency with workflow orchestration tools, preferably Airflow, including DAG development, task dependencies, and monitoring.

• Strong SQL skills and experience with cloud data warehouses like Snowflake, including performance optimization and data modeling.

• Experience with cloud platforms, preferably AWS (S3, Lambda, EC2, IAM, etc.), and understanding of cloud-based data architectures.

• Experience working cross-functionally with data analysts, analytics engineers, data scientists, and business stakeholders to understand requirements and deliver solutions.

• An ownership mentality – this engineer will be responsible for the reliability and performance of their data pipelines and expected to fully understand data flows, dependencies, and their implications on downstream users.

Nice to have:

• Experience with dbt for transformation logic and analytics engineering workflows integrated with data pipelines.

• Familiarity with Databricks for large-scale data processing, including Spark optimization and Delta Lake.

• Experience with Infrastructure as Code (IaC) tools like Terraform for managing cloud resources and data infrastructure.

• Knowledge of data modeling concepts (e.g., dimensional modeling, star/snowflake schemas, slowly changing dimensions).

• Experience with CI/CD practices for data pipelines and automated testing frameworks.

• Experience with streaming data and real-time processing frameworks

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You will act as a senior technical leader in complex data and analytics engagements, shaping and governing end-to-end enterprise data architectures, leading technical teams, and serving as a trusted technical advisor for clients and internal stakeholders.

About Your Role

As a Principal Data Architecture Consultant, you will be responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

About Your Role

As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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Our dynamic organisation allows you to work across themes and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Principal Consultant Data Architecture, you will be the technical leader in complex data and analytics projects. You will design and be responsible for comprehensive enterprise data architectures, lead technical teams, and be a trusted technical advisor for customers and internal stakeholders.

You will ensure that enterprise data and analytics solutions are scalable, secure, and operational, translate technical requirements into robust technical images, and plan the introduction.

Your Tasks:

• Definition and governance of target architectures for enterprise data, integration, and analytics in cloud and hybrid environments
• Translation of business goals into scalable, secure, and compliant architectures
• Leadership of the conception of comprehensive end-to-end data solutions (data intake, data integration, storage, security, processing, analytics, AI support)
• Steering and accompanying delivery teams during implementation, rollout, and establishment of operational readiness
• Senior technical contact person for architects, IT managers, and technical teams of customers
• Mentoring of system and data architects as well as programmers
• Participation in the further development of best practices and reference architectures
• Support of presales and solution design activities from a technical perspective

What You Bring - Minimum Requirements

Experience & Seniority

• At least 5 years of relevant professional experience in enterprise data architecture, data integration, data engineering, or analytics
• Experience in leading enterprise data architecture workstreams or technical teams
• Strong customer and advisory experience in complex enterprise environments

Core Data & Analytics Technology Skills

• In-depth expertise in modern data architectures, particularly:

1. Data Mesh / Data Fabric / Data Lake / Data Warehouse Architectures
2. Principles of modern data architecture designs
3. Integration patterns for batch and streaming data
4. Data platform, DevOps, deployment, and security architectures
5. Analytics and AI enablement architectures

• Practical experience with cloud data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric

• Very good SQL knowledge as well as experience with relational databases (e.g. PostgreSQL, SQL-Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Good understanding of API-based and event-driven architectures
• Experience in conceiving and steering enterprise data migration programs (including mapping, transformation rules, data quality measures, etc.)

Engineering & Platform Fundamentals

• Experience with data pipelines, orchestration, and automation
• Knowledge of CI/CD concepts and production-ready deployments
• Understanding of distributed systems; Docker / Kubernetes knowledge is an advantage

Data Management & Governance

• Very good understanding of data management and governance principles, particularly:

1. Data quality, metadata, lineage, master data management
2. Data management software and tools
3. Security, access, and compliance requirements

• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with advanced analytics, AI/ML, or GenAI from an architect's perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Practical experience with data governance or metadata tools
• Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

About Your Team

You will become part of our growing data and analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of data and analytics strategy, data management and governance, data platforms and engineering, as well as analytics and data science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm that is at the forefront of industry disruption. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is one of the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five years in a row.

We offer a market-leading remuneration, attractive additional benefits, as well as excellent further education and development opportunities. Have you become curious? Then we look forward to your application

More about Infosys Consulting - Europe

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Where Innovation meets Excellence.

Infosys Consulting is a globally renowned management consulting firm that is on the front-line of industry disruption. We are a mid-size player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organization Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is annually recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

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We're seeking an experienced Technical Writer to help define and deliver world-class documentation for the Aladdin Studio developer platform. Aladdin Studio is transforming how developers and data engineers interact with the Aladdin ecosystem, enabling teams to build, integrate, and extend the Aladdin platform through open APIs and event-driven workflows.

Key Responsibilities

• Develop and maintain clear, accurate, and engaging documentation for Aladdin Studio's APIs, SDKs, and event streaming interfaces.
• Collaborate closely with engineers, product managers, and developer experience teams to translate complex technical concepts into approachable guides, tutorials, and reference materials.
• Document event-driven workflows, including streaming APIs, webhook subscriptions, and real-time data integration patterns.
• Design and implement content structures that scale across multiple APIs, microservices, and event channels within Aladdin Studio.
• Contribute to tooling and automation, using OpenAPI/AsyncAPI specs and CI/CD pipelines to generate and version developer documentation.
• Partner with Studio Product Marketing and Solution Architecture team to create onboarding materials, sample code, and “getting started” experiences for external and internal developers.
• Continuously improve the discoverability and usability of content within the Aladdin Studio Developer Portal.
• Champion documentation standards across the Aladdin Product Group, ensuring consistency, clarity, and technical accuracy.

Required Qualifications

• 2+ years of experience as a Technical Writer, Developer Advocate, or Software Engineer focused on APIs or event-driven systems.
• Deep understanding of RESTful and event-streaming architectures (Real-time distributed event streaming platform, Kinesis, or similar).
• Proven experience writing API and developer documentation using OpenAPI/Swagger or AsyncAPI specifications.
• Hands-on familiarity with developer tooling such as Git, Postman, Redocly, or similar platforms.
• Strong grasp of cloud-based integration concepts, including authentication, webhooks, and event publishing/subscription models.
• Excellent written communication skills and ability to translate complex systems into developer-friendly content.
• Proficiency in Markdown, YAML, and basic scripting (Python, JavaScript, or similar).

What We Offer

• Opportunity to shape the developer experience for the Aladdin ecosystem, a platform trusted by the world’s largest financial institutions.
• A collaborative, growth-oriented environment within BlackRock’s Aladdin Product Group.
• Competitive compensation, benefits, and professional development opportunities.
• Direct impact on how external developers and partners extend Aladdin’s capabilities through APIs and streaming data.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.

Job Purpose

We are seeking a highly skilled and motivated Data Engineer to join our growing data and analytics team. The ideal candidate will have strong experience designing and developing scalable data pipelines, integrating complex systems, and optimizing data workflows. Proficiency in Databricks and SAP Datasphere is preferred, as these platforms are central to our data ecosystem.

How You Make an Impact (Job Accountabilities)

• Design, build, and maintain robust, scalable, and high-performance data pipelines using Databricks and SAP Datasphere.
• Collaborate with data architects, analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions aligned with stakeholders' goals.
• Integrate diverse data sources (e.g., SAP, APIs, flat files, cloud storage) into the enterprise data platforms
• Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
• Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
• Create documentation for the platform infrastructure and processes, and train other team members or users in platform effectively.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5-7+ years of experience in a data engineering or related role.
• Strong knowledge of data engineering principles, data warehousing concepts, and modern data architecture.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud platforms (e.g., Azure, AWS, or GCP), particularly in data services.
• Familiarity with data orchestration tools (e.g., PySpark, Airflow, Azure Data Factory) and CI/CD pipelines.

Competencies Desired

• Hands-on experience with Databricks (including Spark/PySpark, Delta Lake, MLflow, Unity Catalog, etc.).
• Practical experience working with SAP Datasphere (or SAP Data Warehouse Cloud) in data modeling and data integration scenarios.
• SAP BW or SAP HANA experience is a plus.
• Experience with BI tools like Power BI or Tableau.
• Understanding of data governance frameworks and data security best practices.
• Exposure to data lakehouse architecture and real-time streaming data pipelines.
• Certifications in Databricks, SAP, or cloud platforms are advantageous.

Working Conditions / Physical Requirements / Travel Requirements

• Normal Office environment.
• Prolonged periods of computer use and frequent participation in meetings
• Occasional walking, standing, and light lifting (up to 10 lbs)

• Minimal travel required.

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What you'll do

• Design, build, and sustain efficient, scalable and performant Data Engineering Pipelines to ingest, sanitize, transform (ETL/ELT), and deliver high-volume, high-velocity data from diverse sources.
• Ensure reliable and consistent processing of versatile workloads of granularity such as Real Time, Near Real Time, Mini-batch, Batch and On-demand.

What you need

• Strong Proficiency in writing and analyzing complex SQL, Python or any 4GL.

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What you'll do

• Design, build, and sustain efficient, scalable and performant Data Engineering Pipelines to ingest, sanitize, transform (ETL/ELT), and deliver high-volume, high-velocity data from diverse sources.
• Ensure reliable and consistent processing of versatile workloads of granularity such as Real Time, Near Real Time, Mini-batch, Batch and On-demand.

What you need

• Strong Proficiency in writing and analyzing complex SQL, Python or any 4GL.

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What you'll do

• Design, build, and sustain efficient, scalable and performant Data Engineering Pipelines to ingest, sanitize, transform (ETL/ELT), and deliver high-volume, high-velocity data from diverse sources.
• Ensure reliable and consistent processing of versatile workloads of granularity such as Real Time, Near Real Time, Mini-batch, Batch and On-demand.

What you need

• Strong Proficiency in writing and analyzing complex SQL, Python or any 4GL.

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