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Senior Solutions Engineer

Databricks
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Hybrid (India)full-timePosted 1mo ago

About the role

Senior role at Databricks in India focused on pre-sales technical engagement, solution architecture, and customer enablement of the Databricks Data + AI Platform, with emphasis on big data analytics, cloud integration, and hands-on evaluation.

Responsibilities

  • Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
  • Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • Become a Big Data Analytics advisor on aspects of architecture and design.
  • Support your customers by authoring reference architectures, how-tos, and demo applications.
  • Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

Qualifications

  • Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
  • Code in a core programming language such as Python or SQL.
  • Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
  • Experience diving deeper into solution architecture and Data Engineering.

Skills

Required:PythonSQLBig Data Analytics
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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