Sr. Data Architect - Data Engineering 3

Sr. Data Architect

Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

• Architect and design end-to-end data integration patterns across Change Data Capture (CDC), Enterprise Service Bus (ESB), Middleware, and API Management (APIM) layers.
• Define scalable integration frameworks for real-time, near real-time, and batch data ingestion, ensuring high availability, resilience, and observability.
• Design and implement event-driven architectures using Apache Kafka / Confluent Platform, enabling reliable event streaming and asynchronous processing.
• Develop streaming data pipelines using:
  • Single Message Transforms (SMT) for event transformation
  • ksqlDB for real-time stream processing
  • Apache Flink for advanced stateful computation and analytics
• Define and govern API contracts for product data ingestion, including POST APIs via APIM, ensuring standardization, versioning, and backward compatibility.
• Design reusable integration components for:
  • Data validation
  • Schema evolution
  • Error handling & retries
  • Dead-letter queues (DLQ)
  • Monitoring and alerting
• Establish enterprise standards for:
  • API security (OAuth, JWT, mTLS)
  • Data governance
  • Metadata management
  • Message schema design (Avro/JSON/Protobuf)
• Collaborate with business, product, data engineering, and platform teams to translate functional requirements into robust technical architecture.
• Provide architecture governance, design reviews, and technical leadership to development teams.
• Ensure compliance with enterprise security, scalability, and performance standards.
• Prior experience on Finance data transformation will be great

Required Skills & Experience

• experience in data integration, middleware, or enterprise architecture
• Strong expertise in:
  • CDC tools (e.g., Debezium, GoldenGate)
  • Enterprise Integration / ESB platforms
  • API Management platforms
  • Messaging and event streaming architectures
• Hands-on experience with:
  • Apache Kafka
  • Confluent Platform
  • Kafka Connect
  • SMT
  • ksqlDB
  • Apache Flink
• Strong understanding of:
  • Event-driven architecture
  • Microservices integration
  • API design (REST/GraphQL)
  • Schema registry
  • Data contracts
• Experience with cloud platforms such as:
  • AWS
  • Microsoft Azure
  • Google Cloud
• Strong knowledge of CI/CD, DevSecOps, infrastructure automation, and observability tooling.

Preferred Qualifications

• Experience in product master data integration / product catalog ingestion
• Exposure to retail, supply chain, or enterprise product domains
• Architecture certifications in cloud or integration platforms
• Experience leading enterprise transformation programs

Success Metrics

• Reliable and scalable integration architecture delivered
• Reduced latency in product data ingestion
• Improved API adoption and governance
• Enhanced system resiliency and observability

This role is ideal for someone who can bridge data architecture, integration engineering, and API strategy to enable enterprise-scale digital transformation.

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

BUILD- IT/GOOGLE CLOUD - GenpactGenpact, Certified Data Management Professional - RiversandRiversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures TechnologiesTechieventures Technologies, IBM Certified Solution Developer - WebSphere IIS DataStage Enterprise Edition v7.5 - IBMIBM, Informatica Certified Designer - InformaticaInformatica

Required Skills

Accounts Payable Process, Accounts Payable Process, Accounts Receivable (AR), Aerospace Manufacturing, Agile Methodology, Automotive Manufacturing, Banking Capital Markets, Change Management, Claims Management, Client Relations, Cloud Computing, Collaboration Tools, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion, Industrial Manufacturing Processes, Information Security {+ 26 more}

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote