GAQ426R201
Mission:
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 journal‑entry 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
What we look for:
- 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
- CPA certification is a plus
- Working experience with SQL and/or Python
- Expert in Excel or Google Sheets
- Proficiency with CRM and ERP systems such as NetSuite and Salesforce
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Top Skills
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
