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
Deliverable
production ML models | product features | dashboards & analysis
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 optimization 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; translate business requirements into effective data solutions.
Seniority
Senior, hands-on IC with leadership responsibilities
