Databricks Engineer
3 days ago
Job Title: Senior Databricks Architect / Lead Databricks Engineer
Experience: 10+ Years (Minimum 4+ Years in Databricks)
Locations: Chennai | Bangalore | Pune | Hyderabad
Work Mode: Hybrid 3 Days from Office
Job Overview
We are looking for a highly experienced Databricks Architect with 10+ years of IT experience and at least 4 years of deep, hands-on Databricks expertise. The candidate will lead the design and delivery of scalable, secure, and cost-optimized data platforms on the Databricks Lakehouse ecosystem.
This role requires strong architectural ownership, technical leadership, and the ability to guide engineering teams.
Key Responsibilities
- Lead end-to-end Databricks architecture: ingestion, transformation, governance, analytics.
- Design scalable Lakehouse Architecture using Delta Tables, schema evolution, ACID transactions, time-travel, and interoperability.
- Integrate Databricks with enterprise ETL / orchestration tools.
- Build optimized pipelines with Spark (DataFrame API & Spark SQL) using Python, Scala, and SQL.
Utilize Databricks-native features:
Delta Live Tables (DLT)
- Unity Catalog
- Workflows
Lakeflow & Lakehouse Federation
Perform cluster configuration, performance tuning, cost optimization, security & monitoring.
- Build real-time streaming pipelines using Structured Streaming + Autoloader.
- Implement DevOps & automation: Terraform, GitHub Actions, Azure DevOps CI/CD.
- Create scalable data pipeline architectures using Databricks best practices.
- Strong expertise in data modeling (conceptual, logical, physical).
- Collaborate closely with CXOs, architects, and global stakeholders.
- Prepare solution proposals, architecture diagrams, technical documents, RFx responses, and presentations.
- Mentor and guide engineering teams to deliver high-quality data solutions.
Required Skills
- 10+ years of IT experience with 4+ years hands-on in Databricks
Deep expertise in:
Lakehouse architecture & Delta ecosystem
- Spark DataFrame API, Spark SQL
- Python, Scala, SQL
- Unity Catalog, DLT, Workflows
- Structured Streaming & Autoloader
CI/CD (GitHub Actions, Azure DevOps) & Terraform
Strong skills in cluster performance, cost governance, data security, and monitoring
- Excellent communication & stakeholder management
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