Technical Lead (AWS Data Engineering Lead)
Core
Designing and building scalable, fault-tolerant cloud-native data lakes and warehouses on AWS, managing batch and streaming data pipelines.
Role type
Senior IC AWS Data Engineering Lead
Builds
Production data platforms, ETL components, and data workflows for large-scale datasets
Domain
Cloud data engineering, AWS ecosystem
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
AWS S3, AWS Glue, AWS Athena, AWS Redshift, SQL (complex transformations, performance tuning), Python, PySpark/Spark, Terraform, CloudFormation, Docker, ECS, EKS, data modeling, schema design, partitioning, query optimization
Preferred skills
Streaming technologies (Kinesis, Kafka, MSK), Lakehouse architectures, BI/analytics tool integration, data governance, data quality frameworks, metadata management, FinOps, CDP/MarTech platforms
Technologies
AWS, Spark, PySpark, Terraform, CloudFormation, Docker, ECS, EKS, Kinesis, Kafka, MSK
Responsibilities
Design cloud-native data lakes and data warehouses; build scalable and fault-tolerant data workflows; develop reusable ETL components and utilities; optimize SQL queries and data pipelines; manage CI/CD pipelines for data platforms; ensure production stability and solution quality
Seniority
Senior, hands-on IC
