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 - 7+ Years - immediate joiners (India)
🏢 SynapseWorks AI
📍 India