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 and on LinkedIn, YouTube, X, and Facebook.

Job Description

A Senior Data Architect to build and lead our internal Cloud Data Competency. This role standardizes architecture practices, and creates reusable assets across multi-cloud data and AI platforms for delivery teams enterprise-wide and provides Cloud blended Data leadership.

Key Responsibilities
Build and lead the Cloud Data Architecture Competency on areas like talent strategy, skill benchmarking, and capability roadmaps
Define learning paths, certification tracks, and upskilling programs; run an architecture community of practice
Establish reference architectures, design patterns, and reusable frameworks/accelerators for data lakes, lakehouses, and cloud migration
Own architecture review boards for internal quality assurance; maintain a technology radar across AWS, Azure, GCP, and modern data stack tools (Snowflake, Databricks, BigQuery, Synapse, Redshift)
Act as technical authority for cloud data architecture org-wide; mentor architects and engineers
Drive POVs, whitepapers, and PoCs on cloud modernization, data mesh, and GenAI-enabled data platforms
Track competency utilization, certification metrics, and skill inventory; report progress to practice leadership
Partner with talent acquisition to define hiring criteria and assess technical candidates for the competency
Support staffing/resourcing decisions by matching architect skillsets to project needs
Collaborate with sales/pre-sales teams to keep capability decks and asset repositories current
Benchmark competency maturity against industry standards and competitor practices

Required Qualifications -
Experience in data engineering/architecture as well as lead/CoE role
Deep hands-on expertise across at least two major cloud platforms (AWS, Azure, GCP)
Experience building or scaling a technical competency, guild, or CoE
Strong content development skills (frameworks, playbooks, training material)
Prior internal enablement, L&D, or CoE leadership experience
Exposure to data mesh/fabric architectures and GenAI integration patterns
Relevant cloud certifications (Solutions Architect / Data Engineer)
Strong content creation/public speaking skills

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Masters - Data Science

Certifications

BUILD- IT/GOOGLE CLOUD - Genpact, Certified Data Management Professional - Riversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies, Informatica Certified Designer - Informatica

Required Skills

Apache Hadoop, API Integration, Cloud Engineering, Cybersecurity, Databricks Platform, Data ETL, Data Governance, Data Modeling, DevOps, Document Management, Metadata Management, Migration & Roadmap, Performance Optimizations, Snowflake (Platform), Solution Architecture

Language

English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Data Engineering

Remote Type -

Hybrid

Work Shift -

Flex Time (India)

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.