Tax Data & AI Automation Architect

Cacheflow

San Francisco (CA)

On-site

USD 161,000 - 221,000

Full time

14 days+
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Job summary

Databricks is seeking a tax data and automation leader to architect redesign of tax processes by building automation and data pipelines. You will bridge tax experts, finance data team and IT, delivering reliable solutions on Databricks platform and Finance Data Lake.

You will lead ELT/ETL pipelines, develop tax calculations and dashboards, enforce CI/CD and SOX controls, and collaborate with stakeholders across Finance, Tax, and Engineering to deliver timely, auditable outputs.

Qualifications

  • 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 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 and non-technical 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.

Responsibilities

  • 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.

Skills

SQL
Python
Databricks
Data pipelines
BI dashboards
AI/ML basics

Tools

Databricks platform

Job description

Databricks is seeking a tax data and automation leader to architect redesign of tax processes by building automation and data pipelines. You will bridge tax experts, finance data team and IT, delivering reliable solutions on Databricks platform and Finance Data Lake.

You will lead ELT/ETL pipelines, develop tax calculations and dashboards, enforce CI/CD and SOX controls, and collaborate with stakeholders across Finance, Tax, and Engineering to deliver timely, auditable outputs.

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