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.

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.