Data Engineer AWS Native Data Platforms Vice President

Skills

About the Role

You will design, build, and operate reliable, secure, observable data pipelines for batch and event-driven workloads. You will use AWS-native services, Airflow, Python, and SQL to ingest, transform, orchestrate, validate, and monitor data. You will also document data products, contribute to CI/CD and infrastructure-as-code practices, and improve resilience through reviews and incident analysis.

Requirements

• Experience building production data pipelines as a Data Engineer, Analytics Engineer, or similar role
• Hands-on experience with AWS-native data services in a regulated or enterprise environment
• Proficiency in Python and SQL
• Experience with workflow orchestration such as Airflow
• Understanding of data modeling, incremental processing, and performance optimization
• Familiarity with data quality, monitoring, and operational support for production data systems
• Experience collaborating with cross-functional partners
• Documentation, change management, and incident response skills

Responsibilities

• Design, build, and maintain AWS-native data pipelines for batch and event-driven workloads
• Develop and operate data workflows using Apache Airflow, Python, and SQL
• Implement tested data transformations, models, and incremental processing
• Integrate enterprise, cloud, API, security, and operational data sources
• Translate business and control requirements into durable data solutions
• Embed data quality, lineage, and observability into pipelines
• Apply cloud security and governance standards, including IAM, encryption, logging, and secrets management
• Contribute to CI/CD pipelines, infrastructure-as-code patterns, and platform tooling
• Document data products, pipelines, and operating procedures
• Participate in design reviews, code reviews, and incident analysis

Benefits

• Retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off