remote
Data Engineering Lead - First Federal Lakewood
Software Engineer
Lead the design, development, and operation of enterprise data platforms, pipelines, and governance using Azure services, SQL, and Python to enable modern analytics and reporting across the organization.
About the role
Key Responsibilities
- Provide technical leadership for the end‑to‑end data engineering lifecycle, including architecture, development, testing, and production support of data pipelines and warehouses.
- Design and implement scalable Azure‑based data platforms, leveraging Azure Data Factory, Azure Synapse, and Azure Service Bus for integration and real‑time processing.
- Collaborate with business stakeholders and third‑party vendors to translate requirements into robust data models and ETL solutions.
- Establish and enforce data governance, quality, and security standards across all data assets.
- Mentor and guide a team of data engineers, fostering best practices in code quality, CI/CD, and performance optimization.
Requirements
- 5+ years of hands‑on experience in data engineering, with a strong focus on Azure cloud services.
- Proficiency in SQL and Python for data transformation, scripting, and automation.
- Demonstrated expertise in building and managing data warehouses and ETL pipelines using tools such as Azure Data Factory, Synapse, or similar.
- Solid understanding of data governance, security, and compliance frameworks.
- Experience leading technical teams and delivering complex data solutions in a fast‑paced environment.