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 creative 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.

Job Description
Senior DataOps Engineer
Team: Global Digital Operations — Data Platform
About the Role
Data Platform Services is building a governed, metadata-driven data platform on Azure Databricks / Unity Catalog — spanning source ingestion, a source-faithful central repository, long-term archival, and controlled distribution to multiple downstream systems. We're looking for a DataOps Engineer who treats pipeline and access-control logic as configuration, not one-off code — someone who has built or maintained systems where a metadata table drives what gets generated (jobs, views, permissions), rather than hand-coding each new dataset or consumer.
You'll work across ingestion (landing → central → archive), retention/pa

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