Role 1: Senior Databricks Platform Engineer

Mission: Own the Databricks platform architecture, governance model, workspace strategy, Unity Catalog design, lifecycle management, and platform operating model.

Responsibilities:

Design and maintain Databricks workspace architecture across development, test, UAT, and production environments. Define workspace topology including hub-and-spoke and catalog-centric patterns. Lead Unity Catalog governance strategy, catalog organization, and workspace-to catalog binding. Design data isolation strategies for business domains and regulated data. Define platform standards for workspace provisioning, deployment, promotion, and lifecycle management. Establish CI/CD standards using Databricks Asset Bundles and Infrastructure as Code. Design scalable chargeback, ownership, and workspace governance models. Create platform standards for monitoring, observability, and operational ownership. Partner with security, compliance, and infrastructure teams on regulated workloads.



Define platform best practices, reference architectures, and operational runbooks. Lead platform roadmap and architecture reviews.

Required Skills
Databricks Workspace Administration
Unity Catalog
Databricks Account Console
Databricks Asset Bundles (DABs)
Delta Lake
Medallion Architecture
Data Governance
Data Mesh / Domain-Oriented Design
Cost Attribution and Chargeback Models
CI/CD for Databricks
GitHub or GitLab
Python and SQL

Preferred Skills
Healthcare, Insurance, Financial Services, or regulated industry experience
PHI/HIPAA governance experience
Data Platform Architecture
Enterprise Governance Programs

Experience
7+ years cloud data platform experience
3+ years Databricks platform architecture
Experience supporting multiple business domains on a shared platform

📌 Senior Databricks Platform Engineer (India)
🏢 SynapseWorks AI
📍 India