Data Operations Technical Lead

Requirements Description

The ideal candidate will lead enterprise data operations within a highly secure, distributed, multi-cloud environment, ensuring scalable, reliable, and mission-ready data capabilities that support real-time decision-making in complex operational settings.

• Lead delivery of data management, governance, and engineering capabilities across program components.
• Career Level: Senior
• Job-Specific Essential Duties and Responsibilities:
• Serve as the Data Operations Technical Lead (Hub) supporting enterprise development and digital transformation initiatives.
• Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities.
• Enable ingestion, integration, and processing of large-scale structured and unstructured data.
• Implement Extract, Transform, and Load processes and automated pipelines for batch and real-time analytics.
• Develop and implement enterprise data management frameworks aligned to program policies and Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable (VAULTIS) principles.
• Establish processes for data quality, lineage, metadata, and ownership across decentralized data domains.
• Treat data as a product, supporting domain ownership and data product lifecycle management.
• Enable secure data sharing solutions for interoperability across program and partner organizations.
• Operate within information environment leveraging: Cloud + on-prem infrastructure Technologies such as Kubernetes, Docker, Spark, Kafka, Snowflake, Redshift Support integration with analytics, artificial intelligence (AI)/Machine Learning (ML), and ML operations platforms.
• Enable Continuous Integration/Continuous Delivery (CI/CD) and DevSecOps practices for data systems.
• Translate operational requirements into data engineering solutions supporting warfighter decision-making.
• Support near real-time analytics capabilities for operational environments.
• Ensure systems are optimized for mission-critical reliability, performance, and security compliance.
• Ensure all data operations comply with DoD, and cybersecurity policies.
• Support Risk Management Framework (RMF), ATO processes, and continuous monitoring.
• Maintain a proactive security posture aligned with enterprise AI and data initiatives.

Job-Specific Minimum Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical discipline
• 8+ years of experience managing digital/data projects supporting DoD Enterprise customers
• An active TS/SCI clearance is required.
• Must be located in one of the following areas: Tampa, FL, Fayetteville, NC, San Diego, CA, VA Beach, VA, Pensacola, FL OR Lejeune, NC.

Preferred Skills and Qualifications

• Master’s degree in a technical or analytics-related field
• Specialized certifications: Cloud (AWS, Azure), Data Engineering, DevSecOps /Agile
• Familiarity with the following: Data-as-a-product models and domain architectures AI/ML data pipelines and MLOps DevSecOps and CI/CD pipelines
• Experience operating in multi-classification environments (NIPR/SIPR/JWICS).
• Experience supporting OCONUS operations or global mission partners.

Pay

$ 160,000.00 - $ 185,000.00