Principal Data Architect

Principal 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
Responsibilities
Practice Leadership
Define and execute the global Data Architecture & Engineering strategy aligned with Genpact's Data, AI, and Digital vision.
Build differentiated offerings across Data Engineering, Lakehouse, Data Products, AI-ready data foundations, and enterprise modernization.
Establish reusable assets, accelerators, methodologies, and reference architectures.
Drive practice growth, capability expansion, and strategic investments.
Client Advisory
Serve as Executive Data Advisor to CIOs, CDOs, CTOs, and business leaders.
Lead executive workshops on enterprise data strategy, modernization, AI readiness, and cloud transformation.
Shape multi-year transformation roadmaps aligned with business outcomes.
Influence executive stakeholders and position Genpact as a strategic transformation partner.
Data Architecture
Lead data architecture for large, complex transformation opportunities.
Design enterprise-scale architecture spanning cloud platforms, data engineering, AI, governance, and analytics.
Ensure architectural consistency across global client engagements.
Establish best practices for scalable, secure, and AI-ready data ecosystems.
Growth
Partner with Sales and Client Partners to originate and close strategic opportunities.
Partner with solutioning for large pursuits, RFPs, and executive presentations.
Develop differentiated value propositions and commercial models.
Support account expansion through technology consulting and innovation.
Partner with alliance teams – Snowflake, Databricks to scale practice . Collaborate with hyperscaler alliance team to co-innovate solutions
Delivery Leadership
Provide executive oversight for large transformation programs.
Guide architecture teams across multiple global delivery centers.
Ensure delivery excellence, quality, governance, and client satisfaction.
Resolve complex technical and organizational challenges.
Innovation
Define Genpact's point of view on Data architecture and Engineering.
Evaluate emerging technologies and establish strategic partnerships.
Build reusable accelerators leveraging GenAI, automation, and modern engineering practices, defined path and vision towards to autonomous data engineering
Talent Development
Build and mentor a global data architecture and engineering community.
Develop capability roadmaps, certifications, and technical career paths.
Attract senior architects and engineering leaders.
Foster a culture of innovation, collaboration, and continuous learning.
enterprise data consulting and architecture.
leading large Data Engineering or Data Architecture practices.
Proven success advising Fortune 500 executives.
Experience leading multi-million-dollar transformation programs.
Track record of growing consulting practices and winning strategic deals.
Experience in scaling and managing global practice organizations.
Technical Expertise
Modern Data Platforms and AI
Databricks
Snowflake
Microsoft Fabric
Familiarity with cloud infra like AWS, Google
Familiarity with Agentic AI enablement , Vector Databases , RAG architecture
Data Engineering
Spark
Delta Lake
Kafka
Airflow
dbt
Python
SQL
Streaming architectures
Data Architecture
Data Mesh
Data Products
Lakehouse Architecture
Data Virtualization
API-first Architecture
Event-driven Architecture
Microservices
Middleware & Enterprise Integration
Leadership Competencies
Executive presence
Strategic Advisory / Story telling
Data Architecture
Practice Building
Financial Acumen
Executive Communication
Talent Development
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle
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, Commercial Excellence, Commercial Modeling, Computer Vision, Consumer Electronics, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism, Executive Presence, Healthcare Payors, Inclusion {+ 28 more}
Language
English (Required)
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Data Engineering
Remote Type -
Hybrid
Work Shift -
Day Job (United States of America)
The approximate annual base compensation range for this position is:
210,000 to 300,000 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.

Skills
Python, Microservices, Kafka, AWS, Azure, SQL, Snowflake, Databricks, Airflow, Artificial Intelligence