> Markdown version of [/jobs/ext/3039044-data-operations-technical-lead](https://www.wearedevelopers.com/jobs/ext/3039044-data-operations-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Operations Technical Lead - **Company:** Maximus, Inc. - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Continuous Delivery, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Distributed Computing Environment, Interoperability, Python (Programming Language), Machine Learning, NIPRNet, DataOps, SQL Databases, Unstructured Data, Enterprise Data Management, System Availability, Delivery Pipeline, Snowflake, Apache Spark, Multi-Cloud, Data Strategy, Data Lakes, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Data Pipelines, Devsecops, Docker, Amazon Redshift, Programming Languages - **Published:** September 23, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9186902/data-operations-technical-lead ## About the Role 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. #techjobs #clearance #veteransPage ## Description 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)