AWS Data Engineer

Summary
Our client is seeking a Sr. Analytics Engineer to serve as the Technical Lead and Product Owner for their data platform.  This is a hands-on, senior IC role covering pipeline engineering, governance, and BI from ingestion through the semantic layer and executive dashboards.
Responsibilities

• Own end-to-end data pipelines across an AWS stack (Step Functions, Glue, Lambda, Snowflake, dbt).
• Maintain Infrastructure-as-Code (Terraform) for business continuity and disaster recovery.
• Maintain enterprise data model and data dictionary across sources.
• Enforce data governance and security best practices in Snowflake (RBAC, masking, least-privilege).
• Design systems of record with proper versioning and audit history.
• Own the database design for AI/ML infrastructure including vector databases.
• Design and maintain a semantic layer for natural language data discovery.
• Own the executive and operational BI dashboards.
• Support actuarial and advanced analytics pipelines.
• Mentor junior data team members.

Requirements

• Analytics/Data Engineering experience with demonstrated growth in scope.
• Hands-on dbt experience at scale.
• Strong Snowflake proficiency (security, access, performance).
• Hands-on AWS Data Services experience (Glue, Step Functions, S3, Lambda).
• Strong SQL and Python skills.
• Experience owning a BI roadmap and dashboards for executive/operational audiences.
• Experience with enterprise data models and semantic layers in multi-source environments.