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

Key Responsibilities

• •Architect and design end-to-end enterprise integration solutions across source systems, CDC pipelines, enterprise bus, middleware, and API layers.
• •Define and implement integration patterns for:
• •Real-time event-driven communication
• •Near real-time synchronization
• •Batch data movement
• •Hybrid integration scenarios

• •Design scalable CDC → Enterprise Bus → Middleware → APIM data flow architecture for enterprise-wide data exchange.
• •Lead architecture and solution design for event-driven platforms using Kafka / Confluent and related streaming technologies.
• •Design and govern Kafka-based streaming pipelines , including:
• •Topic strategy and partitioning
• •Producer/consumer patterns
• •Schema management
• •Message durability and replay
• •Error handling and dead-letter queue patterns

• •Build and optimize streaming transformations using:
• •Single Message Transforms (SMT)
• •KSQLDB for stream processing and enrichment
• •Apache Flink for advanced stateful event processing and analytics

• •Define and govern API contracts for enterprise integrations, including:
• •REST API design standards
• •POST methods for product data ingestion
• •Payload schemas and validation rules
• •API versioning strategy
• •Contract lifecycle governance

• •Design reusable integration components and frameworks for:
• •Routing and orchestration
• •Data transformation
• •Schema evolution
• •Retry and resiliency patterns
• •Exception handling
• •Monitoring and observability

• •Establish enterprise standards for:
• •Integration architecture
• •Security and compliance
• •API governance
• •Message schema standards
• •Performance optimization

• •Collaborate with business stakeholders, product owners, engineering teams, and enterprise architects to translate business requirements into technical solution designs.
• •Conduct architecture reviews, solution validations, and technical governance checkpoints.
• •Support delivery teams in resolving critical technical challenges during implementation.
• •Prior experience on Finance data transformation will be great

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

Apache Flink, Apache Kafka, Integration Architecture

Language

English

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Remote

Work Shift -

Day Job (United States of America)

The approximate annual base compensation range for this position is:

100,000 to 125,000 USD

“Los Angeles California-based candidates are not eligible for this role”

The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity.

• Why join Genpact?
• •Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• •Make an impact – Help global enterprises solve business challenges that matter
• •Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• •Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• •Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

• Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
• Let’s build tomorrow together.

• Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
• Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.