Description

Required skills and experience:
•10+ years in technology delivery, including 4+ years as a technical lead, architect, or senior engineer on data platform or data engineering programs.
•Deep, hands-on AWS experience: S3, S3 Tables, Glue, Athena, Lambda, Step Functions, DMS, Lake Formation, IAM, API Gateway, CloudFront, Secrets Manager, CloudWatch, and ECR. You should be able to read CloudTrail and resolve an access-denied path unaided.
• Apache Iceberg: practical working knowledge of table formats, catalogs, and engine compatibility.
• AWS CDK (Python): you build and maintain infrastructure as code as a matter of course.
• Python at production standard: Lambda handlers, PySpark ETL, CDK stacks, and test suites that you write and review, not merely read.
• Orchestration with Airflow or MWAA.
• Enterprise access control at scale: RBAC and ABAC models, fine-grained filtering, identity federation, and the operational reality of managing grants across many principals and resources.
• Experience leading distributed engineering teams across time zones, with Git and disciplined commit and review practice

Key Skills

Education

Any Gradute