Solution Architect Databricks

Experience Required

10+ years of overall consulting / technology experience

7+ years of experience in Data Engineering, Data Platforms, Big Data, or Analytics

Strong hands-on Databricks experience

Minimum 6–8 end-to-end Databricks project implementations

Role Overview

We are looking for a highly experienced Senior FDE / Resident Solution Architect –

Databricks who can work closely with enterprise customers to design, develop, optimize,

and support scalable data engineering and analytics solutions on the Databricks platform.

The consultant should have solid hands-on expertise in Databricks, Apache Spark,

PySpark, distributed computing, cloud platforms, performance optimization, and solution architecture.

This is a highly technical and client-facing role. The consultant should be able to independently drive architecture discussions, troubleshoot complex Databricks/Spark issues,

provide implementation guidance, and support production deployments.

Key Responsibilities





Design and implement scalable Databricks Lakehouse solutions.

Work directly with customers to understand technical and business requirements.

Define end-to-end data engineering and platform architecture.

Build and optimize data pipelines using Databricks, Spark, PySpark, SQL, and Delta

Lake.

Design batch and streaming data-processing solutions.

Provide technical guidance on Databricks architecture, development standards, and best practices.

Troubleshoot complex Spark and Databricks performance issues.

Optimize workloads for performance, scalability, reliability, and cost.

Support enterprise Databricks platform implementation and modernization initiatives.

Work with Databricks capabilities such as Delta Lake, Unity Catalog, Workflows,

Auto Loader, Databricks SQL, Lakeflow/DLT, and Serverless.

Design and support CI/CD processes for Databricks deployments.

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📌 Databricks Architect (Bengaluru)
🏢 Infronix It
📍 Bengaluru