This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect-Databricks Champion based in India.
This is a remote prospect to shape enterprise-scale data, cloud, and AI transformation initiatives for leading organizations.
You will design and implement modern lakehouse architectures while solving complex data engineering and analytics challenges.
The role combines deep hands-on expertise with strategic architecture and direct client engagement.
You’ll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready data platforms.
The position offers exposure to sophisticated enterprise environments and high-impact transformation programs.
You’ll collaborate with technical and business stakeholders to translate requirements into practical, future-ready solutions.
This is an ideal role for a Databricks specialist who enjoys architecture, delivery, and helping clients unlock the value of modern data platforms.
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Accountabilities




Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases.
Establish effective data governance and security practices using capabilities such as Unity Catalog.
Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions.
Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable.
Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines.
Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate

📌 Databricks Solution Architect-Databricks Champion (India)
🏢 Jobgether
📍 India