Data Engineer Lead
Core
Designing, building, and optimizing cloud-based data pipelines and platforms supporting enterprise analytics, AI/ML, and business intelligence.
Role type
Lead Data Engineer
Builds
Enterprise-scale data lakes and data warehouses (100+ TB) on cloud platforms
Domain
Cloud Data Engineering / Enterprise Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Snowflake, Databricks, Airflow, dbt, Data Modeling (Dimensional, Canonical, Data Vault), Data Quality & Governance, ELT/ETL Pipeline Development, Team Leadership
Preferred skills
DevOps practices, Agile development, ER modeling tools (ERWin, E/R Studio)
Technologies
Snowflake, Databricks, Airflow, Fivetran, dbt, Python, SQL
Responsibilities
Develop and maintain scalable, high-performance data pipelines and workflows; Implement dimensional, canonical, and data vault models; Support development and optimization of enterprise-scale data lakes and data warehouses; Collaborate with data governance teams to implement metadata management and data quality checks; Work with data architects, product managers, and agile teams to deliver robust data solutions; Build and maintain automated ELT/ETL pipelines.
Seniority
Lead, hands-on IC with mentorship responsibilities
