Senior Finance Specialist (Data & AI)
Databricks · Posted Oct 26
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
This role sits within Databricks' Finance Data and AI team, a group that combines engineering rigour with Finance domain knowledge to support the Finance and Accounting organisation. The team builds data pipelines, applications, and AI-powered tooling on the Databricks Data + AI Platform (Lakehouse, Lakeflow, Databricks Apps, Genie, AI/BI dashboards). As a hands-on contributor reporting to the Senior Manager, Finance Data and AI, the specialist will build ETL and finance data pipelines, develop AI-assisted automation and reporting, and support financial close and SOX-compliant change management.
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
Skills used in this role
What the employer is looking 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
Preferred qualifications
- Prior experience at a high-growth SaaS or cloud infrastructure company
- Exposure to AI/BI tools, Genie One, or LLM-powered applications
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
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