Sr. Data Architect - Data Engineering 3

Overview

Senior Data Architect to build and lead Genpact's internal Cloud Data Architecture Competency, standardizing architecture practices and creating reusable assets across multi-cloud data and AI platforms for enterprise-wide delivery teams, with Cloud blended Data leadership.

What you'll do

• 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

What you'll need

• 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), Proficient - C2

Details

• Location: Hyderabad, India (1401-G-India: 14-45, Uppal, STPI)
• Work mode: Hybrid
• Work shift: Flex Time (India)
• Job type: Regular