Data Engineer - SME

<p><strong>Dark Wolf</strong>&nbsp;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.<br><br><strong>Dark Wolf</strong> is seeking a&nbsp;<strong>Data Engineer - Subject Matter Expert (SME)</strong> 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.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Architect and lead the end-to-end implementation of enterprise-scale, high-assurance data platforms and data mesh topologies.</li> <li>Serve as the principal technical authority on distributed data systems, lakehouse architectures, and real-time analytical capabilities.</li> <li>Mandate enterprise-wide data security standards, data-at-rest/in-transit encryption protocols, and zero-trust data governance.</li> <li>Set the strategic roadmap for multi-cloud, hybrid, and air-gapped data deployment methodologies.</li> <li>Interface directly with agency leadership and customer executive stakeholders to align data capabilities with mission objectives.</li> </ul> <p><strong>Qualifications:</strong></p> <ul> <li><strong>Clearance:</strong> Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.</li> <li><strong>Education:</strong> Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).</li> <li><strong>Experience:</strong> 15+ years of data engineering experience.</li> </ul> <p><strong>SME Technical Competencies:</strong></p> <ul> <li><strong>Data Processing Frameworks:</strong> Enterprise architecture, framework evaluation, and platform strategy across processing systems.</li> <li><strong>Database Systems:</strong> Architecting petabyte-scale lakehouse infrastructure, distributed storage optimization, and cross-region replication.</li> <li><strong>Data Modeling:</strong> Strategic enterprise data domain modeling, enterprise ontology design, and schema evolution governance.</li> <li><strong>Programming &amp; Scripting:</strong> Multi-language mastery (Python, Scala, C++, Go) for low-level platform extension and memory-level engine optimization.</li> <li><str