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Databricks

Builds cloud software for data analysis and AI

Senior Manager - Order to Revenue IT Compliance

Internal Audit & ControlsConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A bachelor's degree in Accounting, Finance, Business, Data Science, or a related technical field is required.
  • At least 10 years of relevant experience in revenue operations, financial compliance, IT audit, or SOX control frameworks is required.
  • Expert proficiency in SQL is required.
  • Deep familiarity with audit ownership, consumption-based software-as-a-service, and cloud marketplace billing architectures is required.

Responsibilities

  • Partner with engineering and finance to design internal controls over platform consumption and monetization calculations and oversee compliant execution of those controls.
  • Liaise directly with Internal Audit regarding control environments.
  • Oversee end-to-end reconciliation of internal platform usage against usage submitted by cloud platform partners, including Google Cloud Platform, Amazon Web Services, and Azure.
  • Analyze reconciling items between internal and external usage, resolve discrepancies stemming from errors or bugs, identify revenue recognition impacts in consultation with accounting, and establish standardized governance processes.
  • Execute processes in close collaboration with Engineering to ensure usage-related, financially impacting workflows are accurate, complete, SOX-ready, and fully validated before customer billing and revenue conversion.
  • Manage the paid usage metering dataset to ensure revenue yield for every unit of consumption remains precise, maintaining a reliable internal source of truth for Finance, FP&A, and business stakeholders.

Desired Qualifications

  • Hands-on experience with Databricks is strongly preferred.

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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