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# Mid-Level Data Analytics Architect

- **Company:** Nyla Technology Solutions
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $133,000 - $157,000
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Profiling, Data Architecture, Data Deduplication, Data Hub, Data Integrity, Data Profiling, Data Stores, Data Systems, Python (Programming Language), Standard Sql, Scripting, Great Expectations (Foster Youth College-readiness and Support Program), Grafana, Event Driven Architecture, Information Technology, Apache Flink, Complex Event Processing, Data Analytics, Apache Kafka, Spark Streaming, Data Management
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5795b5693dc72b39

## About the Role

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.

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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).

## Description

The 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.