Databricks: Senior Solutions Engineer — India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Senior Solutions Engineer in India, under reference 8747434002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Field Engineering - Other
• Employer listing date: 29 August 2026

Responsibilities and work described

• 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
• Contribution: 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
• Development: both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect

Essential requirements and candidate background

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes
• 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: 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

Location, schedule and contract conditions

• Advertised location: India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Solutions Engineer vacancy is not an offer for reference 8747434002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8747434002.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• Excel
• data analysis
• AI
• compliance
• sales