Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The Finance Data and AI Specialist builds and maintains data pipelines, applications, and AI-powered tools for Databricks' Finance and Accounting organisation. The role works with Accounting, FP&A, Internal Audit, and Procurement to improve reporting, automate financial processes, and enable self-service analytics.
What You'll Do
- Gather requirements and deliver documented technical solutions for Finance stakeholders
- Develop and maintain ETL pipelines and finance data pipelines using Databricks Lakehouse, Python/PySpark, Databricks Jobs, and Lakeflow...
- Develop AI-assisted tools for workflow automation, anomaly detection, and reporting enhancements
- Build and maintain Finance applications, reports, and dashboards for self-service analytics and periodic reporting
- Support row-level security and data access policies across Finance DataLake datasets
- Monitor pipelines during financial close, investigate data issues, and participate in UAT for new system integrations
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting; proficiency in SQL and Python for pipeline development; experience with financial source systems; experience contributing to BI dashboards and self-service data products; ability to communicate across technical and non-technical audiences; curiosity about AI/ML and interest in applying new techniques to Finance workflows.
Required
- Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting
- Proficiency in SQL and Python for pipeline development
- Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)
- Ability to translate Finance requirements into clean, maintainable technical solutions with guidance
- Comfortable communicating across technical and non-technical audiences
- Experience contributing to BI dashboards and self-service data products
- Curiosity about AI/ML and interest in applying new techniques to Finance workflows
Preferred
- Prior experience at a high-growth SaaS or cloud infrastructure company
- Exposure to AI/BI tools, Genie One, or LLM-powered applications
Original job description
Content provided by the employer
Original job description
Content provided by the employer
About the Role
As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.
This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems.
What You Will Do
- Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
- Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial processes across accounting and FP&A domains, including revenue, expenses, equity, commissions, and tax
- Build and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic
- Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
- Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders
- Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
- Support the implementation of row-level security and data access policies across Finance DataLake datasets
- Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements
- Support financial close by monitoring pipelines, investigating data issues, and escalating as needed
- Participate in UAT for new system integrations and assist with technical documentation
- Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead
What We Look For
- 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems
- Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting
- Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a strong plus
- Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)
- Ability to translate Finance requirements into clean, maintainable technical solutions with guidance
- Comfortable communicating across technical and non-technical audiences
- Experience contributing to BI dashboards and self-service data products
- Curiosity about AI/ML and interest in applying new techniques to Finance workflows
Nice to Have
- Prior experience at a high-growth SaaS or cloud infrastructure company
- Exposure to AI/BI tools, Genie One, or LLM-powered applications
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.
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.