Tax Data & Technology Manager

GAQ327R290

As a tax data & technology leader you will architect the redesign of our tax processes by building automation solutions and managing finance data pipelines that power our global tax organization. You will report to the Senior Director, Tax and serve as the technical anchor between the tax team and the finance data team. You will enable us to reimagine the tax function by leveraging our finance data lake to improve accuracy and efficiency of our tax processes and enable new functionality in reporting and forecasting. Importantly, you will be responsible for bridging the gap between our team's subject matter experts, our technology solutions, and all of the business data needed to support the increasing data requirements for global tax reports.

This is a high-impact role that will build purposeful, reliable solutions on top of the Databricks platform and Finance Datalake to accelerate global Tax.

• Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations that improve tax deliverables via speed & accuracy
• Identify, scope, and deliver AI use cases for Tax,  including tax calculation automation, anomaly detection, and natural language interfaces to the financial data that supports tax
• Build and maintain internal tax applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders
• Build reports and dashboards for monthly, quarterly, and executive-level reporting
• Ensure data integrations are maintained and reconciled to support tax reporting & forecasting use cases
• Create & maintain tax calculation automations & reports are up to date (teaming with tax colleagues), accurate, and reviewable for internal and external stakeholders (e.g. external auditors)
• Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements
• Provide support during tax 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 that interact with tax
• Establish coding, data management, and documentation standards and best practices

• 6+ years of experience in tax automation, transformation, or data engineering, with at least 2 years in a tax or tax adjacent field
• Experience in SQL and Python for data pipeline development; experience with the Databricks platform is a strong plus
• Hands-on experience building and maintaining ELT/ETL pipelines connecting tax source systems (Netsuite, Salesforce, Stripe, SAP, or similar) to tax automation tools OR from those source systems into tax workflows and reports
• Understanding of core tax and accounting concepts including close processes, tax provision, intercompany accounting, tax compliance,  and financial reporting
• Demonstrated ability to translate ambiguous Tax requirements into well-scoped, maintainable technical deliverables
• Comfortable working across both technical (Finance Data Team) and non-technical (Tax, Accounting, FP&A) stakeholders
• Experience with BI and data visualization tooling; ability to build Tax-facing dashboards and self-service products
• Familiarity with AI/ML concepts and enthusiasm for applying them to Tax workflows

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Exposure to AI/BI tools, Genie, or LLM-powered applications
• Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines
• CPA, CFA, or formal finance/accounting background

You will be embedded in a Tax organization that takes data and AI seriously, reporting directly to the Senior Director of Tax, with visibility to CAO-level priorities. The team operates with engineering rigor and tax accountability, and you will have the autonomy to define how we reimagine the tax function at Databricks and develop use cases that may expand to our customers.

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.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.