Delivery Manager - Data Engineering 4D

Delivery Manager - Data Engineering 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 .

Key Responsibilities Workspace Administration & Governance Administer all Databricks workspace-level settings under the ADM model, including access controls, feature flags, and workspace security configurations Ensure DBFS and Hive Metastore remain disabled (mandatory ADP default); prevent re-enablement Configure and manage workspace folder hierarchies for NH2030 teams (Data Engineering, ML, Shared) Set up and maintain notification destinations (email, webhook) for operational alerts Verify SCIM-synced Entra ID groups appear correctly in the Databricks account console post-provisioning Assign Entra ID groups to the workspace and configure role personas (Admin, Data Engineer, ML Engineer)   Compute & Cluster Management Design and create cluster policies for the NH2030 Dev environment: instance types, auto-termination rules, Databricks Runtime (DBR) versions, and shared access mode enforcement Confirm and validate serverless compute enablement at account level following AzTech provisioning Create and configure serverless SQL warehouses for data exploration, SQL analytics, and developer testing Monitor compute usage and enforce cluster policy compliance across development teams   Unity Catalog & Data Layer Validate AzTech-provisioned Unity Catalog metastore, external locations, and storage credentials Support the Data Governance Manager in configuring baseline RBAC, catalog bindings, and workspace-catalog assignments Administer Delta Live Tables (DLT) pipeline configurations and serverless job execution environments Manage MLflow model registry environment settings and model serving endpoint infrastructure   CI/CD & Git Integration Configure Git integration in the Databricks workspace using whitelisted GitHub repositories Set up Databricks Asset Bundles (DABs) for infrastructure-as-code deployment of notebooks, jobs, and pipelines Support the CI/CD pipeline (GitHub Actions / Azure DevOps) for automated deployment of Databricks assets to the Dev environment Conduct end-to-end deployment validation from Git commit through to Unity Catalog output   Environment Readiness & Onboarding Lead the Databricks environment onboarding session for all NH2030 developers (workspace navigation, compute options, secret scopes, Git workflows) Verify developer login and workspace access for all team members prior to sprint start Produce and maintain the NH2030 ADP Dev Environment Configuration and Runbook document Coordinate ServiceNow (SNOW) requests for catalog creation, budget policies, and platform provisioning with the ADP Platform Team (AzTech) Respond to ADP/SPM technical queries during workspace provisioning review