Senior Data & Enterprise Architect (DoDAF/Cloud/Data Integration)
$154,000–$164,000 year
On-siteAberdeen Proving Ground, Maryland, United States
Job Summary
Develop and maintain DoDAF v2.0 and UAF architecture products supporting the Biosurveillance Information Platform. Map operational, systems, and technical architecture views to define how new data sources integrate into the platform. Design end-to-end data ingestion pipelines and information flows from DoD, intelligence, federal, commercial, and open-source data providers. Define enterprise data architecture standards, interface specifications, and technical guidance for external software development vendors. Establish scalable integration strategies that support future onboarding of additional data sources without creating new data silos. Design logical and physical data models supporting structured, semi-structured, and unstructured data. Collaborate with engineers, developers, data scientists, cybersecurity specialists, and government stakeholders to ensure architectural alignment across the program. Support cloud-native architecture utilizing Azure, AWS, or Google Cloud Platform services. Ensure architectural solutions align with DoD cybersecurity requirements, Zero Trust principles, and applicable compliance frameworks. Support acquisition planning, technical reviews, design reviews, and vendor oversight activities. Provide architectural leadership supporting advanced analytics, artificial intelligence, and machine learning initiatives through scalable data design.
Required Qualifications
- Bachelor's degree in computer science, information systems, engineering, data science, or related technical field
- 12+ years of experience supporting enterprise architecture, systems engineering, or enterprise information systems
- Extensive experience developing DoDAF v2.0 architecture products within DoD acquisition programs
- Demonstrated experience designing enterprise data architectures supporting complex, multi-domain environments
- Experience integrating heterogeneous data sources across government organizations
- Strong knowledge of relational databases, NoSQL technologies, data warehousing, and enterprise data modeling
- Experience designing ETL/ELT pipelines and enterprise data integration strategies
- Strong SQL skills
- Experience with enterprise architecture modeling tools such as Cameo, MagicDraw, Sparx EA, or similar
- Experience supporting cloud environments including Azure, AWS, or Google Cloud Platform
- Understanding of APIs, enterprise integration patterns, and distributed systems
- Knowledge of DoD cybersecurity policies, Zero Trust architecture, and secure data management
- Excellent communication and technical leadership skills
- Active Secret security clearance
Desired Qualifications
- Experience supporting CPE-CBRND or other DoD medical, health, or biosurveillance programs
- Experience with Hadoop, Spark, or other big data technologies
- Experience supporting AI/ML-enabled data platforms
- Knowledge of health surveillance, intelligence, or public health information systems
- Experience with Agile software development and DevSecOps environments
- Master's degree in a technical discipline
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