Lead Azure Data Engineer (ADF, Databricks, Snowflake, Power BI)
Compensation
$130K - 170K a year
Responsibilities
Lead design and development of scalable Azure data pipelines, manage ETL processes, optimize Snowflake storage, and build analytical dashboards using Power BI.
Requirements
Must have strong experience with Azure Data Factory, Databricks, Snowflake, Power BI, SQL, Python, PySpark, and data modeling/ETL.
Full Description
Position: Lead Azure Data Engineer Location: Remote Experience: 12+ Years Key Responsibilities: • Lead design & development of scalable Azure data pipelines using ADF and Databricks. • Manage ETL processes and optimize Snowflake data storage. • Build analytical dashboards using Power BI. • Collaborate with cross-functional teams for data-driven insights. Must-Have Skills: • Azure Data Factory (ADF), Databricks, Snowflake • Power BI, SQL, Python, PySpark • Strong data modeling & ETL experience Nice to Have: • Experience with Azure Synapse, Delta Lake, CI/CD, or Data Governance
This job posting was last updated on 10/11/2025
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