
Databricks · Bengaluru
GAQ327R179 We are seeking an experienced Technical Accounting Manager to join our team to lead the revenue accounting function in Bengaluru to ensure accurate,...
We are seeking an experienced Technical Accounting Manager to join our team to lead the revenue accounting function in Bengaluru
to ensure accurate, timely, and compliant revenue recognition for Databricks. Drive close excellence (MEC), strengthen internal
controls (SOX-ready), and partner cross-functionally across RevOps, Deal Desk, Revenue Assurance, Sales Ops, Legal, FP&A, and
Audit. This position requires close collaboration with our core Revenue Accounting teams based in the U.S., providing essential
global financial support to Databricks. This is an individual contributor position, and you will be required to work in PST
hours.
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quarter-end, and audit cycles. Occasional extended coverage during peak periods
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.
GAQ327R160 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. 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. The impact you will have: * Oversee the month-end, quarter-end, and year-end payroll accounting close processes, reviewing and approving complex journal entries, accruals, and balance sheet reconciliations. * Perform monthly payroll flux analysis, identifying and clearly articulating drivers behind significant period-over-period movements for leadership and cross-functional stakeholders. * Lead payroll accounting across our global entities, with particular focus on high-complexity jurisdictions, including Netherlands, Brazil, France, Germany, and India — ensuring accurate accounting treatment, local compliance, and timely close across each location. * Manage complex multi-currency ledger reconciliations, foreign exchange (FX) gain/loss adjustments, and intercompany cross-charges. * Provide technical accounting oversight for stock-based compensation and complex commission structures, ensuring accurate recording and compliance. * Own payroll accounting for equity compensation programs including RSUs, stock options, and ESPP, ensuring accurate recording, tax withholding treatment, and reconciliation between equity, payroll, and the intercompany general ledger. * Serve as the primary point of contact for internal and external payroll accounting audits. Champion compliance with internal controls (SOX), US GAAP, and multi-jurisdictional payroll tax regulations. * Partner with our legal team, external consultants, and banking partners to establish new subsidiaries. Collaborate with Corporate Tax and Technical Accounting to set up accounting processes for new global locations. * Partner with PeopleOps, AP and Procurement to proactively monitor and audit independent contractor relationships , ensuring accurate general ledger classification and mitigating "disguised employee" risks * Drive AI and automation adoption across payroll accounting, including AI-assisted reconciliation between payroll registers and the GL, automated variance detection, and leveraging the Databricks platform to streamline data flow across payroll, equity, and financial systems * Hire, train, mentor, and manage a team of payroll accountants, fostering a culture of continuous improvement and high performance. What we look for: * BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance * 12+ years progressive accounting experience, with at least 5+ years specifically in payroll accounting and 2+ years in a supervisory/management role within a US multinational framework * Chartered Accountant (CA) or CPA equivalent certification is required. CPP is strongly preferred. * Equity compensation accounting experience required, including for RSUs, stock options, and ESPP — from payroll tax treatment to GL reconciliation. * Proven track record driving automation and AI adoption in payroll or accounting operations, with hands-on experience implementing tools that reduce manual work and improve accuracy. * Deep understanding of US GAAP, multi-jurisdiction tax laws, and SOX compliance. Experience with cloud-based systems (e.g., SAP, Workday, Payslip) is required * 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.
GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. 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 — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance. You will be embedded in a Finance organization that takes data and AI seriously. 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: * Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Identify, scope, and deliver 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 * Build reports and dashboards for monthly, quarterly, and executive-level reporting * Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies * Partner with Accounting, FP&A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake * Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent * Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Provide support during financial close and ensure timely resolution of data-related issues * Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes * Establish coding, data management, and documentation standards and best practices * Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results What We Look For: * 15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity * Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus * Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables * Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP&A) stakeholders * Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products * Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Exposure to 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.
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.