Principal Data Architect

BrightClaim•New York, NY

8d•$210,000 - $300,000•Hybrid

About The Position

Genpact is hiring a Principal Data Architect to lead its global Data Architecture & Engineering practice and advance the company’s Data, AI, and Digital vision. The role spans practice strategy and growth, executive client advisory, enterprise architecture, business development, transformation delivery, innovation, and talent development. The Principal Data Architect will advise senior client executives, shape enterprise data and cloud transformation roadmaps, and lead architecture for complex programs. The role also partners with Sales, Client Partners, solutioning teams, and technology alliances to develop offerings and win strategic opportunities. It provides executive oversight of global delivery and builds reusable assets, accelerators, capabilities, and a global architecture and engineering community.

Requirements

Experience in enterprise data consulting and architecture.
Experience leading large Data Engineering or Data Architecture practices.
Proven success advising Fortune 500 executives.
Experience leading multi-million-dollar transformation programs.
A track record of growing consulting practices and winning strategic deals.
Experience scaling and managing global practice organizations.
Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a Master’s degree in Data Science.
English proficiency at C2 level.
Technical expertise in modern data platforms and AI, including Databricks, Snowflake, and Microsoft Fabric.
Familiarity with cloud infrastructure such as AWS and Google Cloud.
Familiarity with agentic AI enablement, vector databases, and RAG architecture.
Data engineering expertise including Spark, Delta Lake, Kafka, Airflow, dbt, Python, SQL, and streaming architectures.
Data architecture expertise including Data Mesh, Data Products, Lakehouse Architecture, Data Virtualization, API-first Architecture, event-driven architecture, microservices, middleware, and enterprise integration.
Leadership competencies including executive presence, strategic advisory and storytelling, data architecture, practice building, financial acumen, executive communication, and talent development.

Nice To Haves

Certified Data Management Professional (Riversand).
Databricks Certified Associate Developer for Apache Spark 3.0.
Databricks Certified Associate Developer for Apache Spark.
Microsoft Certified: Azure Data Engineer Associate.
Oracle Database 12c Certified Implementation Specialist.

Responsibilities

Define and execute the global Data Architecture & Engineering strategy in alignment with Genpact’s Data, AI, and Digital vision.
Build offerings in 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.
Advise CIOs, CDOs, CTOs, and business leaders on enterprise data strategy, modernization, AI readiness, and cloud transformation.
Lead executive workshops and shape multi-year transformation roadmaps aligned with business outcomes.
Influence executive stakeholders and position Genpact as a strategic transformation partner.
Lead data architecture for large, complex transformation opportunities and ensure consistency across global client engagements.
Design enterprise-scale architectures spanning cloud platforms, data engineering, AI, governance, and analytics.
Establish best practices for scalable, secure, and AI-ready data ecosystems.
Partner with Sales and Client Partners to originate and close strategic opportunities.
Support large pursuits, RFPs, and executive presentations with solutioning teams.
Develop differentiated value propositions and commercial models and support account expansion.
Partner with Snowflake and Databricks alliance teams and collaborate with hyperscaler alliance teams to scale the practice and co-innovate.
Provide executive oversight for large transformation programs and guide architecture teams across global delivery centers.
Ensure delivery excellence, quality, governance, and client satisfaction, and resolve complex technical and organizational challenges.
Define Genpact’s point of view on Data Architecture and Engineering and evaluate emerging technologies and strategic partnerships.
Build reusable accelerators leveraging GenAI, automation, and modern engineering practices, including a vision and path toward autonomous data engineering.
Build and mentor a global data architecture and engineering community.
Develop capability roadmaps, certifications, and technical career paths; attract senior architects and engineering leaders; and foster innovation, collaboration, and continuous learning.