Senior Analytics Engineer, Finance

Responsibilities

• Design, build, and maintain analytics solutions across the full lifecycle from data ingestion to reporting and Databricks-hosted application delivery.
• Build and maintain data pipelines, notebooks, and end-user applications within Databricks, using Delta Live Tables, Unity Catalog, and Databricks SQL for governed, scalable data products.
• Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
• Design, implement, and support end-to-end system integrations between SAP S/4HANA and third-party platforms (e.g., lease administration system, space planning tool, physical security/badging systems).
• Ensure accurate, timely, and automated data flow from SAP to downstream systems (and vice versa) to eliminate manual handoffs and human intervention.
• Establish and implement data governance, validation rules, and transformation logic to ensure data consistency across systems including Unity Catalog policies within Databricks.
• Supervise and support interface health, error handling, and reconciliation processes, proactively resolving integration failures and data discrepancies.
• Partner closely with Finance and Real Estate & Site Services Group to understand business processes, reporting needs, and strategic priorities.
• Support data science and advanced analytics projects, including data exploration, feature preparation, and model evaluation within the Databricks environment.
• What we need to see

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