Databricks Engineer

3 days ago


Bengaluru Chennai Pune, India Newbie Soft Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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