Tax Data & Technology Manager
Databricks is hiring a Tax Data & Technology Manager in San Francisco, United States. It pays $161k-$221k a year and Level rates it ; you can apply on Databricks.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Python, SQL and Git among its tools and skills.
- Level classes it as a senior role.
- Databricks has 900 other open roles on Level.
AI in this role
Lead tax data and technology initiatives by building automation solutions, pipelines, and AI use cases on Databricks.
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.
Zone 1 Pay Range$161,000—$221,450 USD
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.
How we rate this
Tax Data & Technology Manager at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where tax technology was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Automation, Tax Technology, CI/CD, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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