Senior Big Data Architect`

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED In this role, you will be at the heartbeat of our data ecosystem—managing and optimizing robust Big Data platforms while applying your software engineering chops to write clean, scalable code. You won't just be managing infrastructure; you'll be developing and refining prototype algorithms that turn complex data streams into high-value insights, as well as building intuitive data visualizations and analytics that empower decision-makers. If you love solving messy data challenges, turning raw inputs into actionable intelligence, and delivering cutting-edge solutions at scale, Team Nyla wants you on board!

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Hands-on experience administering, optimizing, and maintaining scalable Big Data architecture and distributed data platforms.
Strong development skills in core data languages (such as Python, Java, Scala, or C++) to build automation, pipelines, and tools.
Proven capability to design, prototype, refine, and deploy custom algorithms for complex data processing and analytical workflows.
Demonstrated skill in transforming complex analytical results into clear, actionable data visual representations, dashboards, and reports.
Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline, PLUS 7+ years of professional experience in data science, predictive modeling, and AI/ML engineering OR Master’s Degree in a quantitative discipline, PLUS 5+ years of specialized experience developing and deploying machine learning models on large datasets OR High School Diploma / GED , PLUS 11+ years of hands-on technical experience in data science, advanced analytics, and predictive modeling in lieu of a degree.

Nice To Haves

Experience with modern distributed frameworks and data visualization tools (e.g., Spark, Hadoop, Grafana, Kibana, Tableau, or custom D3.js/Web front-ends).
Strong understanding of statistical modeling, machine learning concepts, and performance tuning for high-throughput data pipelines.
Excellent collaborative communication skills and a passion for turning complex technical outcomes into clear visual narratives for non-technical stakeholders.

Responsibilities

Managing and optimizing robust Big Data platforms.
Applying software engineering skills to write clean, scalable code.
Developing and refining prototype algorithms that turn complex data streams into high-value insights.
Building intuitive data visualizations and analytics that empower decision-makers.