Sr. Manager, Order to Revenue IT Compliance

Posted 13 Hours Ago
Be an Early Applicant
3 Locations
In-Office or Remote
179K-246K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Leads IT compliance for usage-based revenue processes, including platform consumption controls, cloud partner reconciliations, SOX-ready engineering workflows, and paid-usage metering data governance. Partners with Engineering, Finance, Accounting, and Internal Audit to resolve discrepancies, assess revenue recognition impacts, automate reconciliation processes, and maintain reliable revenue datasets.
Summary Generated by Built In

GAQ427R212

Databricks is seeking an experienced, hands-on leader to serve as Senior Manager, Order to Revenue IT Compliance. As Databricks continues to scale, protecting our usage-based revenue engine requires dedicated operational and fiduciary oversight at the intersection of product metering, cloud partner ecosystems, and financial accounting. In this key leadership role, you will lead the core execution of usage-related controls, manage reconciliation processes and automation roadmap across cloud platform billing partners, and partner closely with engineering to ensure our platform metering dataset acts as the single internal source of truth for revenue yield and compliance.

Primary Responsibilities

  • Platform Consumption & Monetization Controls: Partner with engineering and finance functions to design internal controls over platform consumption and monetization calculations & oversee compliant execution of such controls. Liaise directly with Internal Audit regarding control environments.
  • Cloud Partner Reconciliations: Oversee the end-to-end reconciliation of internal platform usage against usage submitted by cloud platform partners (GCP, AWS, Azure). Analyze all reconciling items between internal and external usage, resolve discrepancies stemming from errors/bugs, identify revenue recognition impacts in consultation with accounting, and establish standardized governance processes.
  • SOX & Engineering Process Execution: Execute processes in close collaboration with Engineering to ensure all usage-related, financially impacting workflows are accurate, complete, SOX-ready, and fully validated prior to customer billing and revenue conversion.
  • Metering Data Set Management: Manage the paid usage metering dataset to ensure the revenue yield for every unit of consumption remains precise, maintaining a reliable internal source of truth for Finance, FP&A, and business stakeholders.

Minimum Qualifications

  • Education: Bachelor’s degree in Accounting, Finance, Business, Data Science, or a related technical field.
  • Professional Experience: 10+ years of relevant experience in revenue operations, financial compliance, IT audit, or SOX control frameworks.
  • Technical Acumen: Expert proficiency in SQL; hands-on experience with Databricks strongly preferred.
  • Domain Knowledge: Deep familiarity with audit ownership, consumption based SAAS, and cloud marketplace billing architectures.

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 2 Pay Range
$178,900$245,950 USD
Zone 3 Pay Range
$168,900$232,200 USD
Zone 4 Pay Range
$159,000$218,550 USD

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
$198,700$273,250 USD
Zone 2 Pay Range
$178,900$245,950 USD
Zone 3 Pay Range
$168,900$232,200 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.

Skills Required

  • Bachelor's degree in Accounting, Finance, Business, Data Science, or a related technical field
  • 10+ years of relevant experience in revenue operations, financial compliance, IT audit, or SOX control frameworks
  • Expert proficiency in SQL
  • Hands-on experience with Databricks
  • Deep familiarity with audit ownership, consumption-based SaaS, and cloud marketplace billing architectures

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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