Finance Data & Systems Manager

Databricks

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San Francisco, California First seen 4 days, 16 hours ago Last seen 4 hours, 7 minutes ago Greenhouse

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Job Description

AI Summary

• Develop and maintain automated data pipelines using Databricks SQL and Python/PySpark to transform financial data and streamline accounting processes across GL, payroll, equity, commissions, and tax functions • Build financial reports, dashboards, and self-service analytics for monthly/quarterly/executive reporting with proper data governance, security, and documentation standards • Requires Bachelor's degree in Business/Finance/Accounting, 6+ years in accounting/FP&A/data analytics, US GAAP expertise, SQL/Python experience, and proficiency with NetSuite/Salesforce ERP systems • CPA certification is preferred; expert Excel/Google Sheets skills and SaaS/usage-based billing knowledge required • Reports to Finance Data and Systems Director; role includes leading teams, managing financial close support, enforcing SOX-compliant version control and CI/CD practices, and partnering with IT/Engineering on system implementations

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.

Zone 1 Pay Range

$158,200—$217,450 USD

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.

Skills

go git python sql

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Job Information

Company:
Databricks
Location:
San Francisco, California
Job Type:
Full-Time
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

Activity Score

78 /100

Likely Active (78)

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