Databricks: Solutions Architect - Core FSI — Mumbai, 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 Solutions Architect - Core FSI in Mumbai, India, under reference 8637781002. 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: 5 August 2026

Responsibilities and work described

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
• Work: directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows
• As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaboration: with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community

Essential requirements and candidate background

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big-data tools: , including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Consulting / customer facing experience, working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region

Preferred experience and additional strengths

• Nice to have: Databricks Certification

Location, schedule and contract conditions

• This is a Hybrid role, based in Mumbai
• Advertised location: Mumbai, 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 Solutions Architect - Core FSI vacancy is not an offer for reference 8637781002; 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 8637781002.

Compare your qualifications and experience with the essential conditions for the Mumbai, 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
• Java
• R
• SQL
• Hadoop
• Spark
• AWS
• GCP
• Azure
• AI/ML
• Google Cloud
• Excel
• machine learning