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 organisation.
Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries…
Architect, build, and own the most complex finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Declarative Pipelines with built-in…
Lead the technical design of AI use cases for the Finance and Accounting organisation, including forecasting automation, anomaly detection…
Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders.
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 centralised 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.
Experience: Senior-level · 12+ years
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