Senior Data Engineer

The owner of the POD’s data backbone - the Atlas Data Lake, the Graph Database that underpins the Ontology, and the governance that keeps FedEx, customer and third-party data trustworthy. You make sure the intelligence layer is fed with clean, governed, well-modelled data. Key Responsibilities Design and build ingestion and transformation pipelines over the Atlas Data Lake and Databricks for FedEx, customer and third-party data. Model and maintain the Graph Database supporting the Ontology Graph in partnership with the AI Engineer. Implement data governance - lineage, cataloguing, quality, access control and PII handling - aligned to central platform standards. Build streaming and batch pipelines (Azure Event Hub, Spark) and serve data to services via Postgres / SQL / Redis. Set data-quality SLAs and monitoring; mentor the Junior Data Engineer. Must-have Skills & Technologies Lakehouse engineering on Databricks and a data lake (Atlas Data Lake or Delta Lake / equivalent). Strong SQL and Python; Spark (batch and structured streaming). Graph databases (Neo4j, Cosmos DB Gremlin or similar) and graph data modelling. Data governance and lineage tooling (e.g. Unity Catalog, Purview, Collibra) and data quality frameworks. Postgres, Redis, and event streaming (Azure Event Hub / Kafka). Prior Experience 7+ years in data engineering, including lakehouse and streaming pipelines in production. Demonstrable ownership of data governance / lineage in a regulated or large-scale data environment. Nice to Have Feature engineering for ML/AI workloads; serving data to LLM/RAG systems. #J-18808-Ljbffr