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.
The impact you will have:
- 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
What we look for:
- 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
Nice to Have
- 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
Why This Role
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.
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 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.
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 Required
- 6+ years of experience in tax automation, transformation, or data engineering
- At least 2 years of experience in tax or a tax-adjacent field
- SQL and Python experience for data pipeline development
- Experience building and maintaining ELT or ETL pipelines connecting tax source systems to tax tools, workflows, or reports
- Understanding of tax and accounting concepts, including close processes, tax provision, intercompany accounting, tax compliance, and financial reporting
- Ability to translate ambiguous Tax requirements into maintainable technical deliverables
- Experience collaborating with technical and non-technical Finance stakeholders
- Experience with business intelligence and data visualization tools, including tax-facing dashboards
- Familiarity with AI/ML concepts and applying them to Tax workflows
- Experience with the Databricks platform
- 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 Data Lake pipelines
- CPA, CFA, or formal finance/accounting background
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
-
Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
-
Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
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.
