Databricks: Finance Data and AI Lead — Bengaluru, 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 Finance Data and AI Lead in Bengaluru, India, under reference 8604598002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Finance
• Employer listing date: 1 July 2026

Responsibilities and work described

• This role is a part of the Finance Organisation
• As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organisation
• Report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team
• This individual is expected to be based in Bengaluru
• This is a high-impact role at the intersection of finance domain expertise and data platform capability
• Work: closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A, and Finance leadership to define what gets built and how
• Architect, build, and own the most complex finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
• Leadership: the technical design of AI use cases for the Finance and Accounting organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data
• Building: and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders
• Design: and deliver curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance standards
• Define and champion coding standards, data modelling conventions, documentation practices, and testing frameworks across the Finance engineering team
• Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
• Leadership: technical scoping and solutioning for requirements from Accounting, FP&A, Internal Audit, and Procurement teams
• Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues
• Partner with IT and Engineering on new system integrations, providing detailed technical requirements and leading UAT
• Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team

Essential requirements and candidate background

• 12+ years of experience in data engineering, analytics engineering, or finance systems, with a track record of owning complex, production-grade pipelines end-to-end
• Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform
• Experience building and maintaining ELT/ETL pipelines from financial source systems (NetSuite, Salesforce, Stripe, Zuora, or similar) into a centralised data lake
• Understanding: core finance and accounting concepts, including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting
• Independently translate ambiguous Finance requirements into well-architected, maintainable technical solutions
• Comfortable driving technical conversations with both engineering peers and non-technical Finance stakeholders
• Experience building Finance-facing dashboards, self-service BI products, and executive reporting layers
• Familiarity: AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows

Preferred experience and additional strengths

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Experience: AI/BI tools, Genie, or LLM-powered applications
• Experience: Declarative Automation Bundles or CI/CD for Finance DataLake pipelines
• CPA, CFA, or formal finance/accounting background

Location, schedule and contract conditions

• Advertised location: Bengaluru, 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

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Finance Data and AI Lead vacancy is not an offer for reference 8604598002; 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 8604598002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, 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
• CI/CD
• AI/ML
• LLMs
• NetSuite
• Salesforce
• CPA
• Git
• Excel
• AI
• audit