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.
What you'll do:
- 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)
- 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)
What you'll need:
- 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