Role: Senior Databricks Platform Engineer

Location: India | Remote

Duration: 6–12-month contract

Experience Required: 8+ Years

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)
🏢 TTC Group (Tech Talent Consulting)
📍 India