We are seeking a highly experienced Data Operations Technical Lead to support DOW, responsible for delivering the foundational data infrastructure that transforms enterprise data into a strategic asset and enables advanced analytics and AI across warfighting functions.

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., Serve as the Data Operations Technical Lead (Hub) supporting enterprise development and digital transformation initiatives.

• Lead delivery of data management, governance, and engineering capabilities across program components.

• Coordinate with Program Manager, Data Science Technical Lead, and Government stakeholders to align data strategy with mission priorities.

Data Engineering & Infrastructure

• Design, build, and maintain scalable, resilient data pipelines and platforms across hybrid and multi-cloud environments.

• Enable ingestion, integration, and processing of large-scale structured and unstructured data.

• Ensure data availability across NIPRNet, SIPRNet, and other security enclaves, including DIL (Disconnected/Intermittent/Low-bandwidth) environments.

• Implement Extract, Transform, and Load processes and automated pipelines for batch and real-time analytics.

Data Management & Governance

• 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.

Platform & Technology Enablement

• 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.

Operational & Mission Support

• 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.

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.

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.

• Proven experience leading data operations, engineering, or platform teams in Federal/DoD environments

• Data pipelines (ETL/ELT), data lakes/warehouses

• Distributed processing (Spark/Kafka or equivalent)

• Cloud platforms (AWS, Azure, or GovCloud environments)

• SQL, Python, or similar programming languages

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.

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Maximus compensation is based on various factors including but not limited to job location, a candidate’s education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus’s total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant’s salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.