Celebal Technologies - Solution Architect - Databricks Practice

Solution Architect - Databricks Practice

Designation - Solution Architect - Databricks Practice

Experience - 8-14 years

Location- Pune Bangalore Noida Gurugram Hyderabad Jaipur

Job Summary:

We are seeking a Senior Solution Architect to join our Databricks Practice and play a pivotal role in shaping data modernization journeys for enterprise customers. This is a customer-facing, consulting-oriented role where you will engage with CDOs, Data Architects, and Engineering leaders to design and deliver scalable, future-ready Lakehouse solutions on the Databricks Data Intelligence Platform.

You will be the trusted technical advisor - translating business problems into architectural blueprints, guiding customers through EDW modernization programs, and championing the adoption of Databricks' most advanced capabilities including Lakeflow Declarative Pipelines (LDP), Lakeflow Connect, Serverless Compute, Unity Catalog, and AI/BI workloads.

Job Description:

- Lead pre-sales and delivery architecture conversations with enterprise customers, owning the technical narrative from discovery through solution design and through to implementation oversight.

- Design end-to-end Databricks Lakehouse architectures spanning ingestion, transformation, governance, ML, and consumption layers - aligned to Medallion Architecture principles.

- Drive EDW modernization engagements, including migration strategies from legacy platforms (Teradata, Netezza, Oracle, SAS, Greenplum, Synapse, Snowflake, on-prem Hadoop) to Databricks, with clear wave planning, risk mitigation, and TCO/ROI articulation.

- Advise customers on the adoption of advanced Databricks features.

- Conduct architecture deep-dives, PoCs, and workshops - including cost modeling, performance benchmarking, DR design, and platform sizing.

- Produce client-ready deliverables: HLD/LLD documents, reference architectures, migration roadmaps, runbooks, and executive presentations.

- Partner with sales, delivery, and Databricks field teams to shape proposals, SoWs, and bid responses.

- Stay ahead of the Databricks product roadmap and evangelize new capabilities internally and with customers.

- Mentor data engineers, platform engineers, and junior architects on Databricks best practices.