Senior Finance Specialist (Data & AI)

The shape of it

In the posting’s own words

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.

What it asks for · 8

• 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

Also a plus

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Exposure to AI/BI tools, Genie One, or LLM-powered applications

What the job covers

• 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

Tools and skills named

Words the posting leans on

• finance17×
• data13×
• pipelines7×
• accounting6×
• experience5×
• finance data5×
• financial4×
• reporting4×
• technical4×
• applications3×
• dashboards3×
• engineering3×
• maintain3×
• processes3×
• requirements3×
• support3×

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.

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