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Databricks

Builds cloud software for data analysis and AI

Tax Data & Technology Manager

Data Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 6 years of experience in tax automation, transformation, or data engineering, including at least 2 years in a tax or tax-adjacent field.
  • Experience using SQL and Python for data-pipeline development; Databricks platform experience is a strong plus.
  • Hands-on experience building and maintaining ELT/ETL pipelines connecting tax source systems such as NetSuite, Salesforce, Stripe, or SAP to tax automation tools, tax workflows, or reports.
  • Understanding of core tax and accounting concepts, including close processes, tax provision, intercompany accounting, tax compliance, and financial reporting.
  • Ability to translate ambiguous Tax requirements into well-scoped, maintainable technical deliverables.
  • Ability to work across technical Finance Data Team and non-technical Tax, Accounting, and FP&A stakeholders.
  • Experience with business intelligence and data visualization tools, including ability to build Tax-facing dashboards and self-service products.
  • Familiarity with AI and machine learning concepts and enthusiasm for applying them to Tax workflows.

Responsibilities

  • Architect the redesign of tax processes by building automation solutions and managing finance data pipelines for the global tax organization.
  • Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines, with built-in data validation and reconciliations to improve the speed and accuracy of tax deliverables.
  • Identify, scope, and deliver AI use cases for Tax, including tax calculation automation, anomaly detection, and natural-language interfaces to financial data.
  • Build and maintain internal tax applications, including Databricks Apps, Genie Spaces, and dashboards, enabling self-service for non-technical Finance stakeholders.
  • Build reports and dashboards for monthly, quarterly, and executive-level reporting.
  • Maintain and reconcile data integrations supporting tax reporting and forecasting use cases.
  • Create and maintain accurate, current, and reviewable tax calculation automations and reports in collaboration with tax colleagues, for internal and external stakeholders such as external auditors.
  • Enforce Git-based version control, pull-request reviews, and continuous integration and continuous delivery pipelines using Declarative Automation Bundles and 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 user acceptance testing of new systems and processes that interact with Tax.
  • Establish coding, data-management, and documentation standards and best practices.

Desired Qualifications

  • Prior experience at a high-growth SaaS or cloud infrastructure company.
  • Exposure to AI/BI tools, Genie, or large-language-model-powered applications.
  • Experience with Declarative Automation Bundles or continuous integration and continuous delivery for Finance DataLake pipelines.
  • CPA, CFA, or formal finance/accounting background.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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