Databricks & GCP Data Platform Architect

Job Description:

Responsibilities

•  Architecture & Hands-on Implementation
• Design end-to-end Databricks Lakehouse architecture on GCP
• Hands-on implementation of:
• Databricks workspaces, clusters, jobs, and workflows
• Delta Lake–based Bronze / Silver / Gold data layers
• Batch and streaming pipelines using Spark and Databricks
• Create reference implementations and reusable frameworks for teams
• Actively participate in coding, reviews, and production deployments
•  Data Engineering (Hands-on)
• Build and optimize Spark jobs and Databricks notebooks
• Implement ingestion pipelines from:
• Databases and enterprise applications
• Streaming sources (Pub/Sub, Kafka)
• External and SaaS systems
• Perform performance tuning and cost optimization
• Troubleshoot pipeline failures and production issues directly
•  Security, Governance & Compliance
• Implement (not just define) governance using Unity Catalog
• Configure access control integrated with GCP IAM

Qualification & Experience

• 8–12 years of experience in data engineering / data platforms
• 3+ years in a hands-on architect or senior technical lead role