Principal Data Architect
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.
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 the 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, defining a path and vision towards 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.
Experience
•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 / Storytelling
•Data Architecture
•Practice Building
•Financial Acumen
•Executive Communication
•Talent Development
Qualifications
Bachelors in Business Analytics, Bachelors in Computer Science, Bachelors in Statistics, or Masters in Data Science.
Certifications
•Certified Data Management Professional – Riversand
•Databricks Certified Associate Developer for Apache Spark 3.0 – Databricks Academy
•Databricks Certified Associate Developer for Apache Spark – Databricks Academy
•Microsoft Certified: Azure Data Engineer Associate – Microsoft
•Oracle Database 12c Certified Implementation Specialist – Oracle
Language
English (Required), Language Proficiency: Proficient - C2
Job Type
Regular, Work Shift: Day Job (United States of America)
Compensation
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.
