Data Operations Technical Lead Security Clearance

Position: Data Operations Technical Lead with Security Clearance
Description & Requirements 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 war fighting 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.

This role is onsite in Tampa, FL and requires an active TS/SCI security clearance. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS
082, T4, Band 7 Job-Specific

Essential Duties and Responsibilities:

Enterprise Data Operations Leadership - 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 Dev Sec Ops  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. 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.

- 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 Gov Cloud 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, Dev Sec Ops  /Agile - Familiarity with the following:

- Data-as-a-product models and domain architectures - AI/ML data pipelines and MLOps - Dev Sec Ops  and CI/CD pipelines - Experience operating in multi-classification environments (NIPR/SIPR/JWICS).

- Experience supporting OCONUS operations or global mission partners. #techjobs #clearance #veterans

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Minimum Requirements TCS
082, T4, Band 7 EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency 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…