Mid-Level Data Analytics Architect

Nyla Technology Solutions • Annapolis Junction, MD

6h

About The Position

The Data Architect – MDR Systems & Analytics serves as a strategic and technical bridge across the data lifecycle, ensuring data hosted within Master Data Repositories / Managed Data Repositories (MDRs) is accurate, structurally sound, and maximized for operational value. The role operates at the intersection of business enablers, analytical frameworks, and back-end technical support, translating strategic decision-making needs into robust, modern data architectures.

A primary focus is leveraging advanced analytical environments to evaluate data integrity, profile data types and volumes, and conduct systematic value assessments. The role will lead modernization of end-to-end data management tools, workflows, and governance models to support scalable, mission-ready data systems. An active TS/SCI polygraph-level security clearance is required.

The annual base salary range is $133,000–$157,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

• Active security clearance at the TS/SCI polygraph level.
• Deep expertise in repository structures, data modeling, schema definition, and storage optimization for massive enterprise datasets.
• Proven ability to build automated validation, profiling, deduplication, and anomaly-detection rules across end-to-end pipelines.
• Hands-on proficiency classifying structured, semi-structured, binary, and unstructured data, and conducting capacity, throughput, and compression assessments.
• Practical competency configuring, executing, and interpreting analytics in advanced analytics platforms.
• Expert-level SQL skills.
• Strong scripting fluency in Python, R, or Scala for data profiling, transformation, and automation.
• One of the following education and experience combinations: a bachelor's degree in Data Science, Computer Science, Electrical Engineering, Mathematics, or a related technical discipline plus 3 or more years of professional experience in data science, analytics, or technical analysis; a master's degree in a related field plus 1 or more years of professional experience; or a high school diploma/GED plus 7 or more years of relevant hands-on technical experience in lieu of a degree.

Nice To Haves

• Direct background with defense, intelligence, or federal mission datasets and strict information assurance requirements.
• Experience with distributed streaming architectures such as Apache Kafka, Spark Streaming, or Flink.
• Experience deploying data observability platforms such as Monte Carlo, Great Expectations, Soda, or custom observability frameworks.

Responsibilities

• Ensure data hosted within MDRs is accurate, structurally sound, and maximized for operational value.
• Translate strategic decision-making needs into robust, modern data architectures.
• Use advanced analytical environments to evaluate data integrity and profile data types and volumes.
• Conduct systematic data value assessments.
• Lead modernization of end-to-end data management tools, workflows, and governance models.
• Support scalable, mission-ready data systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level