Data Architect - Data Engineering 4D

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 genpact.com and on LinkedIn , YouTube , X , and Facebook .

The Solution Architect is accountable for the design and maintenance of a scalable data, analytics and AI solutions which are owned, operated and supported by the Enterprise Analytics team As the Solution Architect in the Enterprise Data & Product Engineering team, your key responsibilities are as follows:   TECHNICAL PROFICIENCY AND STRATEGIC CONTRIBUTION Contribute to and support solution architecture principles, strategies and frameworks Drive the development of scalable, standardised architectural patterns across Client functions. Ensure all solution architecture and development efforts are aligned with the broader business vision and strategic priorities and provide architectural oversight across delivery initiatives. Collaborate with functional development teams to ensure consistent and integrated use of technologies and patterns across the organization. Advocate for best practices, tools, and methods related to data, analytics and AI solutions   SOLUTION DESIGN INVOLVEMENT & OWNERSHIP Reference Architectures: Contribute to and maintain reusable architectural patterns High-Level and Low-Level Designs (HLDs): Generate, iterate and review HLDs and LLDs for product owners and development teams Key Design Decisions (KDDs): Own architectural decisions for your solutions in alignment with the Architecture Review Board and beyond Architecture Option Assessments: Lead decisioning on tooling, modelling, and patterns for data, analytics and AI solutions undefined TSOLUTION ARCHITECTURE STANDARDS Contribute towards future state enterprise solution architectures, frameworks, patterns and roadmaps.Promote awareness and understanding of Enterprise Analytics architectural patterns and frameworks across the organization.Review and validate high-level architectures and reference architecture libraries   Previous experience as a Solution Architect or Data Architect essential Strong background in solution and/or platform architecture frameworks, and modern analytical methods and tooling. Deep understanding of cloud-based data platforms (Azure) and tools (Databricks, SQL, ADF etc) as well as analytics solutions. Good understanding of Generative (and Agentic) AI architectural concepts and best practices Excellent stakeholder management and communication skills, with the ability to influence and align across business and technology functions.

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science Certifications Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks