DATA ARCHITECT

Job Description Igniters operate in the world’s most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters’ hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is currently seeking a Senior Data Architect to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources. Job Requirements In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Scientists to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using Scrumban techniques and be embedded with end users. Ignite is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you! Essential Job Duties Build and maintain data pipelines, ETL processes, and storage systems Design end-to-end data architectures and infrastructure Lead teams building complex data pipelines and ML systems Develop services and extend infrastructure to enable machine learning workflows Integrate software components into functional data systems Write clean, testable, maintainable code in Python and other languages Implement CI/CD pipelines and DevSecOps best practices Create technical documentation for software systems Collaborate across teams to share knowledge and leading practices Minimum Requirements Top Secret Security Clearance At least 5 years of experience as a Data Engineer/Scientist or advanced analytical role Experience in data engineering and/or software development Expertise with Python, GIT, YAML, Docker, and SQL Knowledge of CI/CD and Agile methodologies Experience developing back-end systems and services Understanding of software design and system integration Preferred Qualifications Top Secret Security Clearance with SCI eligibility Significant Experience with Petabyte scale data sets Significant Experience with large-scale, multi-INT analytics BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field Work Environment Working conditions are normal for an office environment. Fast paced, deadline-oriented environment. May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).