Senior Manager, Finance Data and AI

GAQ327R175 About the Role This role is a part of the Finance Organisation. As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A, and Finance leadership to define what gets built and how. You will be embedded in a Finance organization that takes data and AI seriously, with visibility to CFO-level priorities. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: * Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data * Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders * Design and deliver curated Finance DataLake datasets and enforce row-level security, data access policies, and Unity Catalog governance standards * Define and champion coding standards, data modeling conventions, documentation practices, and testing frameworks across the Finance engineering team * Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Lead technical scoping and solutioning for requirements from Accounting, FP&A, Internal Audit, and Procurement teams * Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues * Partner with IT and Engineering on new system integrations, providing detailed technical requirements and leading UAT * Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team * Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction What We Look For: * 12+ years of experience in data engineering, analytics engineering, or finance systems, with a track record of owning complex, production-grade pipelines end-to-end * Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform * Experience building and maintaining ELT/ETL pipelines from financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Strong understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Ability to independently translate ambiguous Finance requirements into well-architected, maintainable technical solutions * Comfortable driving technical conversations with both engineering peers and non-technical Finance stakeholders * Experience building Finance-facing dashboards, self-service BI products, and executive reporting layers * Familiarity with AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Hands-on experience with AI/BI tools, Genie, or LLM-powered applications * Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines * CPA, CFA, or formal finance/accounting background   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 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.

GAQ327R161 About the Role 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. The Senior Payroll Accountant plays a critical role in executing the day-to-day and month-end accounting tasks associated with Databricks' global payroll. As part of the Global Accounting organization and reporting directly to the Payroll Accounting Manager based in India, you will tackle complex reconciliations, execute detailed variance analysis, and drive process improvements. The ideal candidate is a highly analytical self-starter with a keen eye for detail who thrives in a fast-paced, high-growth environment. The impact you will have: * Prepare and record comprehensive payroll journal entries, including salaries, bonuses, commissions, stock-based compensation, benefits, and multi-state/international taxes. * Prepare accurate monthly balance sheet reconciliations for assigned accounts, proactively identifying and resolving any variances or discrepancies within the close period. * Perform monthly payroll flux analysis, identifying and investigating drivers behind significant period-over-period movements. * Prepare payroll accounting for equity compensation programs such as RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the general ledger. * Execute payroll accounting across global entities, with exposure to high-complexity jurisdictions, including Netherlands, Brazil, France, Germany, and India, ensuring accurate accounting treatment and local compliance. * Partner closely with the Payroll Operations team to research and resolve discrepancies between the payroll register and the general ledger. * Support annual local statutory audits, consolidated external audits, and internal SOX requests; help maintain a documented system of accounting policies and procedures (SOPs). * Partner with the Manager and cross-functional teams (Legal, External Advisors) to set up accounting processes and systems for new international subsidiaries and locations. * Lead testing and implementation of updates to cloud-based payroll and accounting systems; perform ad hoc financial analysis and drive process improvement projects to increase efficiency. * Support AI and automation initiatives across payroll accounting, including reconciliation tooling, variance detection, and process improvements that reduce manual work. What we look for: * BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance * 6-8 years of general accounting experience, with a minimum of 4+ years dedicated specifically to payroll accounting * Chartered Accountant (CA) or CPA equivalent certification is strongly preferred.  * Experience with equity compensation accounting (RSUs, stock options, ESPP) is a plus * Experience supporting annual statutory audits and the partnership skills necessary to collaborate effectively with local and remote teams across various time zones * Exposure to global payroll jurisdictions, particularly high-complexity countries such as Netherlands, Brazil, France, Germany, and India, is a plus * Hands-on experience with cloud-based accounting systems and a strong working knowledge of US GAAP * Hands-on experience or strong interest in driving automation and AI adoption in payroll or accounting operations * Proven experience partnering with local accounting teams to file statutory accounts and the flexibility to support remote teams across different geographic areas, including with US-based accounting teams 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 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.