Senior Cloud Engineer – AWS GovCloud & Databricks Platform

Job Title: Senior Cloud Engineer AWS GovCloud & Databricks Platform
Experience: 8+ Years
Location: USA 100% Remote
Employment Type: Contract
Work Authorization: W2
Eligibility: Candidates must be physically located in the United States.
Job Summary
We are seeking an experienced Senior Cloud Engineer with strong expertise in AWS GovCloud, Terraform, and Databricks platform administration. The ideal candidate will be responsible for designing, implementing, automating, and managing secure, scalable, and compliant cloud infrastructure to support enterprise-scale data engineering, data lakehouse, AI, and machine learning workloads.
The candidate should have extensive hands-on experience in Infrastructure as Code (IaC), AWS networking and security, Databricks governance, CI/CD automation, and container orchestration. Experience working in regulated environments and familiarity with U.S. government security requirements are highly desirable.
Key Responsibilities
Design, provision, and manage multi-workspace AWS and Databricks infrastructure using Terraform and Infrastructure as Code best practices.
Administer and optimize the Databricks platform, including Unity Catalog, Delta Lake, SQL Warehouses, Workflows, Cluster Policies, and Databricks Asset Bundles (DABs).
Design and implement secure AWS cloud networking using VPC, IAM, AWS PrivateLink, Transit Gateway, and related networking services.
Implement identity and access management controls, including RBAC, SSO, SCIM, AWS KMS, and AWS Secrets Manager.
Develop and maintain automated CI/CD pipelines using GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
Deploy and manage containerized workloads using Docker and Kubernetes, including Amazon EKS.
Implement cloud security best practices, audit logging, infrastructure monitoring, and compliance controls.
Integrate Policy-as-Code and Infrastructure-as-Code security scanning tools such as Checkov and tfsec.
Troubleshoot infrastructure, networking, security, and Databricks platform issues in production environments.
Collaborate with data engineering, DevOps, security, and AI/ML teams to deliver reliable and scalable cloud platforms.
Establish reusable infrastructure modules, automation standards, and operational documentation.
Required Skills and Qualifications
8+ years of hands-on experience in Cloud Engineering, Infrastructure Engineering, DevOps, or a related field.
Expert-level experience with Terraform and Infrastructure as Code.
Strong hands-on experience with AWS cloud services, networking, and security architecture.
Experience with AWS GovCloud environments and government or regulated-cloud infrastructure.
Strong experience administering the Databricks platform, including:
Unity Catalog
Delta Lake
Databricks Workflows
SQL Warehouses
Cluster Policies
Databricks Asset Bundles (DABs)
In-depth knowledge of AWS VPC, IAM, KMS, PrivateLink, and Transit Gateway.
Experience implementing SSO, SCIM, RBAC, secrets management, and secure access controls.
Hands-on experience building and maintaining CI/CD pipelines.
Experience with Docker, Kubernetes, and Amazon EKS.
Proficiency in Bash and/or Python scripting for automation.
Knowledge of cloud governance, audit logging, security controls, and Policy-as-Code practices.
Strong troubleshooting, analytical, communication, and collaboration skills.
Preferred Qualifications
Experience with MLflow and AI/ML platform operations.
Knowledge of Delta Sharing and cross-organization data governance.
Experience supporting large-scale data lakehouse platforms and enterprise data workloads.
Background in highly regulated industries such as Defense, Aerospace, Healthcare, or Financial Services.
Active AWS or Databricks certifications.
U.S. security clearance or eligibility to obtain the required clearance, subject to project requirement

Work arrangement
Yes