Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDThe
Lead Data Architect - MDR Systems & Analytics serves as the 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. This role operates at the critical intersection between business enablers, analytical frameworks, and back-end technical support-translating strategic decision-making needs into robust, modern data architectures. A primary focus involves leveraging advanced analytical environments to evaluate data integrity, profile data types and volumes, and conduct systematic value assessments. The Lead will spearhead the modernization of end-to-end data management tools, workflows, and governance models to support scalable, mission-ready data systems.
The annual base salary range for this role is $133,000-$157,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- MDR & Data Repository Architecture: Deep expertise in repository structures, data modeling, schema definition, and storage optimization for massive enterprise datasets.
- Data Integrity & Quality Engineering: Proven ability to build automated validation, profiling, deduplication, and anomaly-detection rules across end-to-end pipelines.
- Data Sizing & Typing Analysis: Hands-on proficiency in classifying data types (structured, semi-structured, binary, unstructured) and conducting capacity, throughput, and compression assessments.
- Advanced Analytics Platform Experience: Practical competency configuring, executing, and interpreting analytics.
- Querying & Scripting: Expert-level SQL skills and strong scripting fluency in Python (or R/Scala) for data profiling, transformation, and automation.
Education:
Bachelor's Degree in Data Science, Computer Science, Electrical Engineering, Mathematics, or a related technical discipline, PLUS
3+ years of professional experience in data science, analytics, or technical analysis OR
Master's Degree in a related field, PLUS
1+ years of professional experience OR
High School Diploma / GED, PLUS
7+ years of relevant hands-on technical experience in lieu of a degree.
Desired Skills- Specialized Ecosystem Experience: Direct background with defense, intelligence, or federal mission datasets and strict information assurance requirements.
- Stream & Event Processing: Experience working with distributed streaming architectures (e.g., Apache Kafka, Spark Streaming, Flink).
- Automated Data Quality & Observability Tools: Prior experience deploying data observability platforms (e.g., Monte Carlo, Great Expectations, Soda, or custom observability frameworks).
