Data Engineer – AWS Native Data Platforms, Vice President
Core
Design, build, and operate AWS-native data pipelines for batch and event-driven workloads within a highly regulated environment to support critical technology, security, and operational use cases.
Role type
Senior Data Engineer (AWS Cloud & Security)
Builds
Reliable, secure, and observable data pipelines and data products
Domain
Financial Services / Cloud Security / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS native services (S3, Glue, Lambda, Step Functions), Apache Airflow, Python, SQL, data modeling, incremental processing, data quality frameworks, CI/CD, infrastructure-as-code
Preferred skills
Security/risk/compliance data domains, OpenSearch/Elasticsearch, cloud security controls (IAM, secrets management), executive-level reporting platforms
Technologies
AWS (S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch), Apache Airflow, Python, SQL, dbt, Great Expectations, Terraform
Responsibilities
Design and maintain AWS-native data pipelines; Develop and operate data workflows using Apache Airflow; Implement data transformations using analytics engineering patterns; Integrate data from enterprise sources; Partner with security and operations teams; Embed data quality and observability; Operate within cloud security and governance standards; Contribute to CI/CD and infrastructure-as-code; Document data products and procedures; Participate in design reviews and incident analysis
Seniority
Senior, hands-on IC