GAQ326R191

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

As a Sr. Compensation Analyst, you will support the delivery of mid-year and year-end compensation planning cycles for multiple parts of the business, using the Pave platform. You’ll help maintain high-quality compensation data and support the tools and systems that scale our programs.

Reporting to the Sr. Manager, Compensation Programs and Operations, you’ll partner with teammates and cross-functional stakeholders to support the program management, testing, and implementation of global compensation programs and help scale the compensation team’s frameworks, tools, and practices as the company continues to grow. At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member with a solid foundation and history of success in doing just that!

What you will do:

• Support all aspects of compensation planning cycles for cash and equity, which includes creating and managing the Asana project plan, preparing cycle data, configuring the Pave platform, executing User Acceptance Testing (UAT), and ensuring the accurate and smooth flow of data across all relevant systems and tools for seamless execution.

• Collaborate with IT People Systems to ensure Workday compensation data, configuration, and reports are accurate, scalable, and efficient.

• Manage and analyze complex datasets to generate clear, data-driven compensation insights that inform decision-making, increase efficiency, and enable scalable growth.

• Participate in technology reviews and system enhancements for the compensation team to ensure tools, processes, and compensation programs scale effectively with the business

• Contribute to compensation projects and operational improvements by documenting processes, supporting system testing, and coordinating with partners across HR.

What we look for:

• 5+ years of compensation experience, ideally supporting compensation planning cycles, in fast-paced, scaling companies

• Experience using Pave or similar compensation planning tools and Workday as system of record; familiarity with Workday EIBs

• Strong analytical and quantitative skills; comfort working with large datasets

• Strong competency in understanding, interpreting, and communicating procedures, policies, and information clearly through excellent written, verbal, and interpersonal skills

• Proficient in project management methodologies and techniques

• Ability to navigate ambiguity in a fast-paced, dynamic environment where foundational frameworks are still being developed and priorities can shift quickly

• Ability to effectively communicate and collaborate with others on the team

• Strong sense of urgency with the ability to handle multiple competing priorities

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
$124,800—$174,750 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 2 Pay Range
$112,400—$157,325 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.