Role at a glance
- Salary
- $178.9K – $246K/yr
- Location
- Central, United States West Coast, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's
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About the role
Original posting provided by Databricks
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.
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.