Data Engineering Lead
Core
Design, develop, and deliver scalable cloud-based data solutions and modernize enterprise data platforms.
Role type
Senior Data Engineering Lead (IC + Mentorship)
Builds
Scalable data pipelines, ETL/ELT workflows, and high-performance data products on AWS.
Domain
Cloud Data Engineering / Enterprise Data Platforms
Required skills
AWS data engineering, Python, PySpark, SQL, ETL/ELT development, data pipeline architecture, technical leadership, code review, team mentoring
Preferred skills
Amazon Redshift, Athena, DynamoDB, Apache Iceberg, modern data lake/lakehouse architectures, domain-oriented data products
Technologies
AWS Glue, Amazon EMR, Amazon S3, Python, PySpark, SQL, Apache Iceberg, Amazon Redshift, Athena, DynamoDB
Responsibilities
Lead architecture and development of scalable data pipelines; Drive enterprise data integration and ETL/ELT implementation; Define and maintain engineering standards; Conduct technical design and code reviews; Optimize data pipelines for performance and scalability; Mentor and guide Data Engineers; Collaborate with stakeholders to align solutions with enterprise objectives
Seniority
Senior, hands-on IC with mentorship responsibilities