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Job Description
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.
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 ScienceCertifications
BUILD- IT/GOOGLE CLOUD - Genpact, Certified Data Management Professional - Riversand, Cloudera Certified Developer for Apache Hadoop (CCDH) - Techieventures Technologies, Informatica Certified Designer - InformaticaRequired 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 ArchitectureLanguage
English (Required)Language Proficiency -
Proficient - C2Additional Job Location -
Job Type
RegularMaster Skill List -
Data EngineeringRemote Type -
HybridWork 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.
Skills
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About Company
Genpact was founded in 1997 as a unit of General Electric. The company was founded as GE Capital International Services (GECIS) in New Delhi. Starting with 20 employees under the leadership of CEO Pramod Bhasin, its charter was to provide business process outsourcing solutions to GE's businesses. In the beginning, GECIS created processes for outsourcing back-office activities for GE Capital such as processing car loans and credit card transactions. It was an experimental concept at the time and the beginning of the Business-Process-Outsourcing (BPO) industry.
One year after its launch, GECIS employed about 800 people and generated revenues of US$4 million. By 2001, GECIS operations had grown to 12,000 employees and the company began to manage a wide range of processes across GE's financial services and manufacturing businesses. Jack Welsh, CEO of GE at the time, said that GECIS was a key driver of GE’s growth between 1998 and 2001, and was responsible for reducing operating costs by approximately US$1 billion.
In 2003, GE reduced its stake in GECIS to 40% and sold the remainder to two American private equity firms. At the time of the sale, GECIS employed around 13,000 people in India and 4,000 people in the US, China, Hungary and Mexico, providing a range of solutions in areas such as finance and accounting, insurance claim processing, IT management and technical support.
By 2004, GECIS oversaw around 700 business processes for GE that had migrated from the US to India, generating revenues of US$426 million.
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