Senior Finance Specialist (Data & AI)

About the Role

As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.

This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems.

What You Will Do

Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions

Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial processes across accounting and FP&A domains, including revenue, expenses, equity, commissions, and tax

Build and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic

Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements

Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders

Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting

Support the implementation of row-level security and data access policies across Finance DataLake datasets

Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements

Support financial close by monitoring pipelines, investigating data issues, and escalating as needed

Participate in UAT for new system integrations and assist with technical documentation

Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead

What We Look For

7+ years of experience in  finance and accounting, data engineering, analytics engineering, or finance systems

Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting

Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a strong plus

Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)

Ability to translate Finance requirements into clean, maintainable technical solutions with guidance

Comfortable communicating across technical and non-technical audiences

Experience contributing to BI dashboards and self-service data products

Curiosity about AI/ML and interest in applying new techniques to Finance workflows

Nice to Have

Prior experience at a high-growth SaaS or cloud infrastructure company

Exposure to AI/BI tools, Genie One, or LLM-powered applications

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Benefits

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 .

Our …