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Full Stack Data Lead Azure Data Engineering - Careerly Consulting
Software Engineer
Lead end‑to‑end Azure data engineering initiatives, designing scalable pipelines and data warehouses using Azure Data Factory, Databricks, Spark, SQL and robust data modeling techniques.
About the role
Key Responsibilities
- Architect, develop, and maintain scalable data pipelines on Azure Data Factory and Azure Databricks.
- Design and implement data models and warehousing solutions to support analytics and reporting.
- Lead a team of data engineers, providing technical guidance and ensuring best practices for ETL/ELT processes.
- Optimize Spark jobs and SQL queries for performance and cost efficiency.
- Collaborate with stakeholders to translate business requirements into technical specifications.
Requirements
- 9+ years of hands‑on experience in Azure data engineering, including Azure Data Factory, Azure Data Lake, and Azure Databricks.
- Strong expertise in Spark, SQL, data modeling, and building data warehouses.
- Proven track record of designing and delivering end‑to‑end data solutions at scale.
- Experience leading data engineering teams and managing complex projects.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.