About DataNimbus

DataNimbus is an enterprise AI company with deep vertical solutions in financial services and industrial sectors. We build domain-native AI that understands how industries actually operate, not just how data flows through them. Our solutions are outcome-driven and industry-specific, delivering measurable results across how money moves, how assets perform, and how businesses grow.

What Would Help Make Your Case

• 8+ years in data engineering or data platforms, including 4+ years hands-on with Databricks in production.
• 2+ years as architect or technical lead, owning design decisions for a platform or program.
• Led at least 2 end-to-end migrations to Databricks from legacy platforms (e.g. Hadoop, Teradata, Oracle, Informatica, Synapse, Snowflake), each at TB scale or above.
• Led the design and delivery of at least 2 end-to-end Databricks lakehouse implementations, covering medallion architecture, data modeling, batch and streaming, Unity Catalog governance, and non-functional requirements.
• Owned technical delivery of at least 1 Databricks program (team of 4+,



6+ months): scope, estimates, technical risks and timelines.
• Authored architecture artifacts used by delivery teams and customers: design documents, architecture decision records (ADRs), reference architectures and C4/solution diagrams.
• Production experience with Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables or Workflows, and Structured Streaming.
• Advanced SQL and production-grade PySpark (testing, packaging, code review), Scala a plus.
• Deep Apache Spark expertise (execution model, shuffle, Catalyst/Tungsten, memory, AQE, Structured Streaming state) applied to architecture decisions.
• Deep expertise in one cloud (AWS, Azure or GCP) as it applies to Databricks, plus hands-on project experience in a second.
• Implemented CI/CD and infrastructure as code for Databricks in production (Databricks Asset Bundles, Terraform, GitHub Actions or Azure DevOps).
• Databricks Certified

📌 DataNimbus - Data Architect - Databricks (Kolkata)
🏢 DataNimbus
📍 Kolkata