Data Platform Engineer

Job Title: Data Platform Engineer

Reference: 26-026

Job Type: Full-time

Job Status: Interviewing

Date Posted: 09-15-2026

Location: Huntsville

Duration: Permanent

Company Address: CohesionForce, Inc.

Street: 101 Quality Circle

Suite: Suite 140

City: Huntsville, AL 35806

Website: http://www.CohesionForce.com

Job Description:

CohesionForce is actively seeking candidates for a Data Platform Engineer to become part of our team in Huntsville, AL. This individual will design, deploy, and support data services used by engineering applications, automated workflows, analytics, and AI-enabled capabilities. The engineer will provide reliable orchestration, storage, database, lineage, and data-access patterns while making the platform easier for software teams and users to operate.

Responsibilities include:

• Deploy and operate workflow orchestration, object storage, relational database, and graph database services in Kubernetes or OpenShift.

• Build reusable data ingestion, transformation, validation, publication, and access patterns.

• Design data lifecycle, retention, schema migration, backup, restore, and recovery procedures.

• Develop self-service capabilities that allow teams to create and operate repeatable data workflows.

• Implement access controls, service identities, secret handling, and least-privilege data access with identity and platform engineers.

• Diagnose data quality, lineage, workflow, database, storage, performance, and availability issues.

• Automate deployment and configuration using Python, SQL, GitOps, infrastructure as code, Helm, and CI/CD.

• Instrument data services with logs, metrics, traces, health checks, and service-level indicators.

• Develop technical documentation, data contracts, operating procedures, and recovery runbooks.

• Work directly with software, AI, reliability, and customer teams to translate data needs into supportable platform capabilities.

Basic Qualifications:

• Bachelor's degree in an engineering, computer science, cybersecurity, information technology or a related discipline, or equivalent experience and combined education, with 5 years of experience, or relevant professional experience; or 3 years with a related Master's degree.

• Experience designing and operating production data platforms or distributed data services.

• Experience with Python, SQL, data modeling, APIs, and automated data workflows.

• Experience with Kubernetes or OpenShift, containers, Linux, and CI/CD.

• Experience with object storage and at least one relational, document, or graph database technology.

• Experience with data quality, lineage, access control, backup, restore, and operational troubleshooting.

• Ability to communicate technical information clearly and document repeatable procedures.

• Works well in a fast-paced collaborative team environment.

• Must be willing to work onsite in a closed/classified area.

• Active Department of Defense (DoD) Secret clearance.

Preferred Qualifications:

• Experience with Dagster, Airflow, Prefect, or a comparable orchestration platform.

• Experience with S3-compatible object storage and distributed storage systems.

• Experience with graph databases, knowledge graphs, provenance, or evidence management.

• Experience with PostgreSQL and database lifecycle automation.

• Experience with Helm, Kustomize, Argo CD, Terraform, or Ansible.

• Experience supporting data services in disconnected or access-controlled environments.

• Strong oral and written communication skills.

• Strong interpersonal and collaboration skills.