Data and AI Lead, Finance

The shape of it

In the posting’s own words

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. You will 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.

What it asks for · 8

• 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
• Strong understanding of core finance and accounting concepts, including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting
• Ability to 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 with AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows

Also a plus

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

What the job covers

• Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A, such as revenue, expenses, equity, commissions, and tax
• 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
• Lead 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
• Build 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
• Lead 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
• Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction

Tools and skills named

Words the posting leans on

• finance21×
• data15×
• technical10×
• pipelines9×
• experience7×
• accounting6×
• finance data6×
• engineering5×
• financial5×
• design4×
• lead4×
• requirements4×
• systems4×
• applications3×
• internal3×
• processes3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Databricks

• ソリューションアーキテクト (プリセールス)Tokyo, Japan
• デリバリーソリューションアーキテクトTokyo, Japan
• Account ExecutiveBengaluru, India; Mumbai, India
• Account Executive - FederalAustralian Capital Territory, Australia
• Account Executive, SingaporeSingapore
• Accounting ManagerSan Francisco, California