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Data Engineering Lead - FMHC
Software Engineer
Lead enterprise data engineering initiatives, architecting scalable pipelines, modernizing reporting, and enforcing governance across Azure-based platforms. Drive cross‑functional collaboration to deliver high‑quality, governed data assets for analytics and decision‑making.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end data pipelines using Azure Data Factory, Data Lake, and Data Warehouse solutions.
- Lead technical direction for middleware and Azure Enterprise Service Bus integration to support real‑time data flows.
- Collaborate with business stakeholders and third‑party vendors to define data requirements, quality standards, and governance policies.
- Oversee performance tuning, monitoring, and troubleshooting of data platforms to ensure reliability and scalability.
- Champion data governance initiatives, including metadata management, data lineage, and compliance with regulatory standards.
Requirements
- 5+ years of data engineering experience in a cloud environment, preferably Azure.
- Proficiency in Python, SQL, and ETL tooling (Azure Data Factory, Synapse, etc.).
- Strong understanding of data lake and data warehouse architectures.
- Experience with Azure Service Bus, event‑driven integration, and middleware solutions.
- Excellent communication skills and ability to translate business needs into technical solutions.