Senior Data and AI Engineer - Finance at Databricks — AI Jobs | Neura Market

About This Role

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. This is part of the Finance org. 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

Build and maintain finance data pipelines in the Finance DataLake using Databricks Jobs and Lakeflow 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, 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
Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
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 data engineering, analytics engineering, or finance systems
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 (NetSuite, Salesforce, Stripe, Zuora, or similar)
Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting
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, or LLM-powered applications

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.