Lead Data Engineer
Core
Design, build, and operate reliable data platforms that turn complex data into useful business insights for global brands.
Role type
Lead Data Engineer
Builds
Data pipelines, semantic models, visualizations, and reporting solutions
Domain
Data Engineering / Cloud Data Platforms
Required skills
Python, SQL, Databricks, Snowflake, Microsoft Fabric, Data Pipeline Orchestration, Data Modeling, API Integration, CI/CD, Data Visualization
Preferred skills
PostgreSQL, SQL Server, Google BigQuery, Amazon Redshift, R, Cloud Services (Azure, AWS, GCP)
Technologies
Databricks, Snowflake, Microsoft Fabric, Python, SQL, Git, CI/CD tools
Responsibilities
Design and maintain data pipelines for ingestion and transformation; Develop solutions using Databricks, Snowflake, or Microsoft Fabric; Contribute to data architecture and solution design; Develop data models, ontologies, and semantic layers; Implement pipeline orchestration, scheduling, and monitoring; Troubleshoot data and pipeline issues; Apply data quality controls and automated testing; Implement role-based access control and security best practices; Apply DevOps practices including version control and automated deployment; Build data visualizations and reports.
Seniority
Senior, hands-on IC with leadership responsibilities