Lead Data Engineer
Core
Design, develop, and optimize scalable cloud-based data platforms and pipelines to support reporting, analytics, and business requirements.
Role type
Senior hands-on IC Lead Data Engineer
Builds
Scalable data platforms, ETL/ELT pipelines, and data transformation frameworks
Domain
Cloud data engineering and modern data stack
Required skills
SQL, Python, Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, data modeling, data warehousing, data quality principles
Preferred skills
Technical leadership, mentoring, architectural decision-making, automation design
Technologies
Databricks, Snowflake, dbt, Apache Airflow, Azure Data Factory, Python, SQL
Responsibilities
Lead design and development of scalable data pipelines; take technical ownership of data engineering solutions; work hands-on with Databricks and Snowflake; develop data transformation frameworks using dbt; design and manage data orchestration workflows; write and optimize complex SQL; drive improvements in data quality and engineering standards; provide technical leadership and mentoring to other engineers.
Seniority
Senior, hands-on IC with leadership responsibilities
