We are seeking an experienced Data Engineer Lead to drive the design, development, and optimization of scalable data solutions. The ideal candidate will lead a team of data engineers, architect modern data platforms, and ensure high data quality, governance, and performance.
Lead the design and development of enterprise data pipelines
Architect scalable data platforms using cloud or on-prem solutions
Develop ETL/ELT processes for structured and unstructured data
Optimize data workflows for performance and reliability
Collaborate with Data Scientists, Analysts, and Business teams
Implement data governance and data quality frameworks
Review code, mentor team members, and enforce best practices
Support production data issues and performance tuning
Strong experience in Data Engineering and data architecture
Expertise in SQL and Python/Scala
Experience with ETL tools (Informatica, Talend, or similar)
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of big data technologies (Spark, Hadoop)
Strong understanding of data modeling and warehousing concepts
Experience with Snowflake, Databricks, or BigQuery
Knowledge of CI/CD for data pipelines
Experience leading technical teams
Excellent communication and stakeholder management skills