Pay
In line with similar jobs
$161K–$221K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Tax Data & Technology Manager
San Francisco, California
Live, first seen by us 28 days ago- Pay
USD 161,000–221,450/yearAnnual period assumed — pay source
Zone 1 Pay Range $161,000—$221,450 USD About Databricks
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 620 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingOrchestrate data jobs and pipelines with built-in validation and reconciliations
Identify and deliver AI use cases for tax, such as calculation automation and anomaly detection
Build internal tax apps and dashboards for self-service by Finance stakeholders
Build monthly, quarterly and executive-level tax reports and dashboards
Support tax close and resolve data issues quickly
From the employer’s posting
Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations
Identify, scope, and deliver AI use cases for Tax, including tax calculation automation, anomaly detection
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
Provide support during tax close and ensure timely resolution of data-related issues
About Databricks
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202628 days ago
- Recorded sightings
- 127
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Oct 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 28
Similar jobs usually come down between day 8 and day 57.
At Databricks, jobs usually come down by about day 63.
From 9,462 similar postings that came down, and 19 of Databricks’s. Coming down is not always a hire.
Databricks is hiring
29 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Its jobs tend to stay up a long time
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- SAP
Where the posting names them
- 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
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:
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
- 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
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
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.
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
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
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
- 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
Your next step
Complete your application on databricks.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Zone 1 Pay Range $161,000—$221,450 USD About Databricks
- Location & working pattern
San Francisco, California
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.