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Databricks is seeking a Payroll Accounting Manager to lead the payroll accounting team in Bengaluru, India. This foundational hire will oversee payroll-related financial data, ensuring compliance with US GAAP and local tax regulations.
The role requires deep technical expertise combined with team leadership, with responsibilities including managing complex reconciliations, overseeing equity compensation accounting, and driving AI adoption in payroll processes.
We\'re building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. We are looking for a Payroll Accounting Manager to lead our payroll accounting team based in India. This is a foundational hire — you will help build the team, define the operating model, and set the standard for how payroll accounting operates at Databricks as we continue to scale.
This role blends team leadership with deep technical accounting expertise. As part of the Global Accounting organization, you will ensure the accurate and timely recording of all payroll-related financial data while partnering closely with PeopleOps, Payroll Operations, Global Accounting, and FP&A to ensure strict compliance with US GAAP, local tax regulations, and internal policies.
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.
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.
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.
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.