Senior Data Architect

Job Title: Senior Data Architect

Location: Arnold AFB, TN

Job Family Code: O - Engineering

Function/Branch: MIS/Data Team

Directorate: Mission Information Services (MIS)

Position Type: Regular, Full-Time

Pay Type: Exempt

Sponsorship: Position Not Sponsored

Grade: L10 (OA1067) / L11 (OA1165)

Salary Range or Starting Hourly Rate:L10: $148,000 - $197,500; L11: $171,000 - $228,000 / per year

Overview

BNH is seeking a Senior Data Architect that serves as the primary technical architect leading the design and deployment of a modern, greenfield data ecosystem in support of the TOS II contract at Arnold Engineering Development Complex (AEDC). Partnering directly with the Data Product Manager, this role translates functional product roadmaps and aerospace test modernization requirements into scalable, secure, and resilient data architectures.

The architect establishes enterprise data models, unified ingestion frameworks for high-frequency telemetry and sensor data, and secure data Lakehouse infrastructures to support the contract mandate of doubling aerospace testing throughput.

Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours.

Job not sponsored.

Job Summary

The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product architecture and partnering with the Data Product Manager to establish the long-term product roadmap, manage and prioritize the feature backlog, and optimize resource investmentsensuring BNHs data assets deliver measurable business value and directly support the modernization goals of the TOS II contract.

Job Duties and Key Responsibilities:

• Greenfield Architecture & System Design: Architect scalable, high-throughput data pipelines and hybrid cloud/on-premise storage repositories for aerospace test telemetry, operational diagnostics, and business intelligence workloads.
• Product Manager Partnership & Technical Roadmap: Translate product vision, feature backlogs, and user stories into technical system designs, architecture blueprints, schema definitions, and interface control documents (ICDs).
• Data Ingestion & Telemetry Pipelines: Design real-time and batch ingestion architectures capable of handling massive telemetry, instrumentation, and sensor data feeds across legacy and modernized test facilities.
• Data Modeling & Governance Integration: Create and enforce enterprise-level conceptual, logical, and physical data models, master data schemas, and data dictionaries ensuring full lineage and cataloging.
• Security, IA & Contract Compliance: Implement DoD Zero-Trust data access principles, NIST SP 800-171/DoD 8570 controls, and role-based access control (RBAC) to protect Controlled Unclassified Information (CUI).
• Technical Mentorship & Agile Execution: Lead technical spikes, guide data engineers on implementation patterns, conduct architecture peer reviews, and actively participate in sprint planning and backlog grooming.
• Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management.
• It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
• Perform other duties as required.

Basic Qualifications:

• Bachelors degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related STEM field plus ten (10) years of progressive experience in data architecture, data modeling, and enterprise data engineering; OR Masters degree in a related STEM field plus eight (8) years of experience; OR Bachelors degree in any field plus ten (10) years of direct enterprise data architecture experience.
• Minimum of four (4) years designing distributed data storage systems, data lakehouses, or enterprise data warehouses (e.g., Snowflake, Databricks, Redshift, Big Query, or on-premises equivalents).
• Must be able to obtain and maintain an active security clearance and maintain authorized user access to the AEDC local area network.
• U.S. Citizenship is required due to federal government contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Base.

Preferred Qualifications

• Modern Data Stack & Orchestration Practical experience with Apache Spark, Kafka, dbt, Apache Airflow, or similar real-time event streaming and pipeline orchestration technologies.
• Cloud & Hybrid Infrastructure Proven track record deploying GovCloud (AWS GovCloud or Azure Government) secure infrastructure under FedRAMP High / IL5/IL6 guidelines.
• Certified Data Management Professional (CDMP), AWS Certified Data Analytics, Databricks Certified Solutions Architect, or equivalent.
• Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate.
• Hands-on exposure to data governance and cataloging platforms such as Collibra, Alation, Apache Atlas, or Microsoft Purview.
• Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban).
• Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements.

What We Offer

• Competitive salaries

• Continuing education assistance

• Multiple healthcare benefits packages

• 401K with employer matching

• Paid time off (PTO) along with a federally recognized holiday schedule