Finance Data & Systems Manager
About The Position
Databricks is looking for a Finance Data and Systems Manager, reporting to the Finance Data and Systems Director. You will combine finance and accounting expertise with technical proficiency in SQL and Python to automate workflows, shorten the close, and improve financial reporting. This role requires a collaborative and detail-oriented individual who can build scalable solutions across various Controllership functions, including GL Accounting, Payroll, Equity, Commissions, and Tax. The impact you will have: Design, develop, and maintain pipelines to transform ERP, payroll, equity compensation, commissions, and tax data using Databricks SQL and Python / PySpark, automating journalâentry creation, accrual calculations, and other core financial processes Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations Build reports and dashboards for monthly, quarterly, and executive-level reporting Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies Document data lineage, model definitions, and business logic in a central catalog and wiki Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Databricks Asset Bundles, GitHub Actions) to satisfy SOX change management requirements Provide support during financial close and ensure timely resolution of data-related issues Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes Establish coding, data management, and documentation standards and best practices Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results
Requirements
- Bachelor's degree in Business, Finance, Accounting or a related field
- 6+ years or equivalent tenure from related positions in accounting, FP&A, or data analytics
- US GAAP experience with a strong understanding of SaaS/usage-based billing
- Working experience with SQL and/or Python
- Expert in Excel or Google Sheets
- Proficiency with CRM and ERP systems such as NetSuite and Salesforce
Nice To Haves
- CPA certification is a plus
Responsibilities
- Design, develop, and maintain pipelines to transform ERP, payroll, equity compensation, commissions, and tax data using Databricks SQL and Python / PySpark, automating journalâentry creation, accrual calculations, and other core financial processes
- Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
- Build reports and dashboards for monthly, quarterly, and executive-level reporting
- Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies
- Document data lineage, model definitions, and business logic in a central catalog and wiki
- Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Databricks Asset Bundles, GitHub Actions) to satisfy SOX change management requirements
- Provide support during financial close and ensure timely resolution of data-related issues
- Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes
- Establish coding, data management, and documentation standards and best practices
- Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
