The Role

This remote Cloud Platform engineering role enables AWS Data Lake initiatives by designing, automating, and operationalizing secure, reusable cloud infrastructure. The position partners with Data Engineering teams to deliver Terraform-based platform capabilities, GitHub-driven automation, and AI-assisted engineering practices that accelerate delivery while maintaining enterprise security, governance, operational excellence, and outstanding developer experience.

This role serves as the Cloud Platform engineering representative for Data Engineering initiatives, helping teams deliver secure, scalable, and operationally supportable AWS solutions through reusable platform capabilities and engineering best practices 

The AI-Enabled AWS Data Lake Platform Developer enables Data Lake solutions to run securely, reliably, and efficiently in AWS. The role translates Data Engineering requirements into reusable AWS infrastructure patterns, Terraform modules, GitHub-based automation, policy guardrails, and operational practices that align with Cloud Platform standards while improving consistency, scalability, and developer productivity. 

Responsibilities

• Participate in Data Engineering team projects as the Cloud Platform engineering representative for AWS infrastructure enablement.
• Design, code, review, test, and maintain Terraform for AWS Data Lake infrastructure using GitHub repositories and pull requests.
• Build reusable patterns for S3 storage zones, IAM roles and policies, KMS encryption, networking, observability, and environment deployment.
• Use GitHub Actions, GitHub Packages, and GitHub Copilot-assisted workflows to support delivery, testing, documentation, and troubleshooting.
• Review and validate AI-assisted outputs before use in production or shared platform repositories.
• Embed security, compliance, tagging, naming, logging, monitoring, and operational standards into reusable infrastructure patterns.
• Create documentation, handoff notes, runbooks, and support guidance for deployed Data Lake capabilities.
• Continuously improve reusable Terraform modules, platform capabilities, and engineering standards based on operational feedback and evolving AWS services.
• Enable Data Engineering teams through reusable infrastructure patterns, documentation, onboarding guidance, and self-service platform capabilities.
• Partner with Data Engineering teams to optimize AWS infrastructure for cost, performance, scalability, resilience, and operational efficiency.
• Contribute to the evolution of Cloud Platform standards, reusable modules, golden paths, and internal developer experience. 

Work Schedule:

• This position is remote
• Domestic travel may be required.
• Must be willing and able to work after hours and provide on-call support as needed. 

Education:

• Required:
  • Practical experience in cloud infrastructure engineering, platform engineering, data platform enablement, application development, or related technical delivery roles. 
• Preferred: 
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or equivalent technical experience.
  • AWS, Terraform, cloud architecture, DevOps, security, data, or generative AI certification preferred. 

Experience:

• 5+ years of relevant cloud infrastructure, platform engineer