Senior Data Architect

BNH•San Marcos, TX

3d•$148,000 - $228,000•Onsite

About The Position

BNH is seeking a Senior Data Architect to serve as the primary technical architect for designing and deploying a modern, greenfield data ecosystem supporting the TOS II contract at Arnold Engineering Development Complex (AEDC). The role partners directly with the Data Product Manager to translate 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 infrastructure to support the goal of doubling aerospace testing throughput. The successful candidate is a strategic, business-oriented data leader responsible for defining enterprise data product architecture and working with the Data Product Manager on the long-term product roadmap, feature backlog priorities, and resource investments. The position ensures BNH’s data assets deliver measurable business value and support TOS II modernization goals. The role is based at Arnold AFB, Tennessee. The selected candidate may occasionally need to work outside normal business hours, such as during application upgrades. Wearing company-issued personal protective equipment (PPE) as directed by supervisors and company policy is a condition of employment.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related STEM field and 10 years of progressive experience in data architecture, data modeling, and enterprise data engineering; or a related STEM master’s degree and 8 years of experience; or a bachelor’s degree in any field and 10 years of direct enterprise data architecture experience.
At least 4 years designing distributed data storage systems, data lakehouses, or enterprise data warehouses, such as Snowflake, Databricks, Redshift, BigQuery, or on-premises equivalents.
Must be able to obtain and maintain an active security clearance and authorized user access to the AEDC local area network.
U.S. citizenship is required due to federal government contract requirements and access to secure federal databases and networks on Arnold Air Force Base.
Must wear company-issued PPE as directed by supervisory staff and company policy.

Nice To Haves

Practical experience with Apache Spark, Kafka, dbt, Apache Airflow, or similar real-time event-streaming and pipeline-orchestration technologies.
Proven experience deploying secure GovCloud infrastructure (AWS GovCloud or Azure Government) under FedRAMP High or IL5/IL6 guidelines.
Certified Data Management Professional (CDMP), AWS Certified Data Analytics, Databricks Certified Solutions Architect, or equivalent certification.
Working knowledge of machine learning models, big data frameworks, and analytics workflows.
Hands-on exposure to data governance and cataloging platforms such as Collibra, Alation, Apache Atlas, or Microsoft Purview.
Experience running agile or hybrid project frameworks such as Scrum or Kanban.
Ability to troubleshoot data bottlenecks, missing variables, or changing project requirements.

Responsibilities

Architect scalable, high-throughput data pipelines and hybrid cloud/on-premise storage repositories for aerospace test telemetry, operational diagnostics, and business intelligence workloads.
Translate product vision, feature backlogs, and user stories into technical system designs, architecture blueprints, schema definitions, and interface control documents.
Design real-time and batch ingestion architectures for telemetry, instrumentation, and sensor data across legacy and modernized test facilities.
Create and enforce enterprise conceptual, logical, and physical data models, master data schemas, and data dictionaries, ensuring data lineage and cataloging.
Implement DoD Zero-Trust data access principles, NIST SP 800-171/DoD 8570 controls, and role-based access control to protect Controlled Unclassified Information.
Lead technical spikes, guide data engineers on implementation patterns, conduct architecture peer reviews, and participate in sprint planning and backlog grooming.
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, regulatory requirements, and privacy requirements.
Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy.
Champion best practices in data architecture and data management.
Partner with the Data Product Manager to establish the long-term product roadmap, manage and prioritize the feature backlog, and optimize resource investments.
Wear company-issued PPE in accordance with supervisory direction and company policy.
Perform other duties as required.