Data Platform Engineer

Responsibilities

• DevOps & Platform Engineering
• Design, implement, and maintain CI/CD for data pipelines and platform services
• Build and manage IaC using Terraform, Ansible, and AWS CDK
• Operate tooling: Crossplane, Backstage, Argo CD
• Implement GitOps workflows using GitLab/GitHub
• Manage Kubernetes and Docker for data services
• Cloud Infrastructure & Operations
• Design secure, scalable data platform architectures on AWS GovCloud and Azure Government
• Optimize network architecture for data movement
• Manage IAM and secrets for pipelines
• Administer Linux/Windows systems with monitoring and logging
• Troubleshoot and optimize pipelines (Kafka/Spark tuning, S3/Redshift patterns)
• Security & Compliance
• Implement security controls aligned with NIST, FedRAMP, and DISA STIG
• Embed data governance: classification, lineage, retention, encryption
• Integrate automated security and policy-as-code checks
• Support audits, ATO, and compliance assessments
• Manage encryption, keys, and access in classified networks
• Collaboration & Continuous Improvement
• Operate within SAFe Agile ceremonies
• Mentor peers and drive engineering standards
• Identify optimization opportunities across platform components
• Document runbooks and operational procedures
• Ideal Technical Background:
• Kafka, Airflow, Spark; AWS EMR, Glue, Redshift
• Lake/lakehouse architecture and large-scale data movement
• GitOps & IaC: Terraform, Ansible, AWS CDK
• CI/CD: GitLab/GitHub
• Kubernetes, Docker
• Crossplane, Backstage, Argo CD preferred
• Python, Bash, PowerShell; Linux/Windows
• Strong AWS experience (GovCloud preferred)

Requirements

• 5 years of cloud, infrastructure, or data platform engineering experience
• 3 years of designing secure data platform architectures
• Hands-on experience with IaC and DevOps in production
• Experience in classified environments (ex: NIPR/SIPR/JWICS)
• Background in data engineering and security hardening
• Bonus Points if you have:
• Bachelor's degree
• AWS or Azure certifications
• Security+ or equivalent
• CKA/CKAD
• CISSP or advanced security certifications
• Agile/Scrum certifications
• Familiarity with accreditation frameworks
• Data modeling and warehouse design (Redshift or equivalent)
• Streaming patterns and stateful processing
• Data catalog and lineage tooling
• GPU-accelerated data processing (CUDA/cuDNN) as a plus
• Multi-cloud architecture and advanced networking
• Configuration management (Ansible/Chef/Puppet)
• Clearance:
• Must have an active Top Secret level clearance

Benefits

Additional Information

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Accenture Federal Services is seeking a Data Platform Engineer to join our secure cloud platform team supporting government customers at Hill Air Force Base. This role is execution-focused with strong data platform engineering depth - you will design, build, and operate the streaming and batch data pipelines, lakehouse patterns, and platform services that enable rapid, secure delivery across a complex government program. The ideal candidate brings hands-on GitOps and infrastructure-as-code expertise, is comfortable in classified multi-network environments, and embodies extreme ownership. What Success looks like: Data pipelines are reliable, automated, and instrumented with observability and quality gates. Platform services (Kafka, Airflow, Spark, EMR/Glue/Redshift) are standardized and version-controlled. Infrastructure is defined as code and operated through GitOps - no snowflake systems. Security and compliance controls are embedded into pipelines and platform services. You operate with minimal supervision and proactively close gaps.

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