Data Engineer - SME

About the role

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We’re proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission’s biggest challenges.

Dark Wolf is seeking a Data Engineer - Subject Matter Expert (SME) to architect, lead, and execute enterprise-wide data platform initiatives. As the principal technical authority, you will set the enterprise data architecture strategy, design high-assurance data topologies for classified enclaves, govern data mesh architectures, and advise government stakeholders on mission-critical data strategies.

Key Responsibilities

- Architect and lead the end-to-end implementation of enterprise-scale, high-assurance data platforms and data mesh topologies.

- Serve as the principal technical authority on distributed data systems, lakehouse architectures, and real-time analytical capabilities.

- Mandate enterprise-wide data security standards, data-at-rest/in-transit encryption protocols, and zero-trust data governance.

- Set the strategic roadmap for multi-cloud, hybrid, and air-gapped data deployment methodologies.

- Interface directly with agency leadership and customer executive stakeholders to align data capabilities with mission objectives.

Qualifications:

- Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.

- Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).

- Experience: 15+ years of data engineering experience.

SME Technical Competencies:

- Data Processing Frameworks: Enterprise architecture, framework evaluation, and platform strategy across processing systems.

- Database Systems: Architecting petabyte-scale lakehouse infrastructure, distributed storage optimization, and cross-region replication.

- Data Modeling: Strategic enterprise data domain modeling, enterprise ontology design, and schema evolution governance.

- Programming & Scripting: Multi-language mastery (Python, Scala, C++, Go) for low-level platform extension and memory-level engine optimization.

- Containerization: Enterprise multi-cluster Kubernetes strategy, zero-trust container architecture, and data infrastructure scheduling.

- Agile Frameworks: Strategic Agile transformation, scaled program delivery (SAFe), and technical governance.

- Multi-Cloud Architecture: Hybrid, multi-cloud, and air-gapped enterprise data strategy and infrastructure execution.

- Security Scanning Tooling: Enterprise DevSecOps authority, security compliance posture, and risk mitigation strategies.

Desired Qualifications:

- Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Kubernetes Certified Administrator (CKA).