Senior Data Architect - Top Secret

Job Description:

• Lead the design and modernization of data architectures, models, schemas, pipelines, interfaces, metadata frameworks, and data-governance practices supporting cyber mission data.

• Architect data integration and acquisition solutions using databases, APIs, ETL/ELT, data lakes, streaming technologies, and event-driven architectures.

• Establish standards for data quality, lineage, metadata, classification, retention, ownership, interoperability, access, and secure information sharing.

• Evaluate data platforms and proposed capabilities for performance, scalability, availability, recoverability, interoperability, security, cost, and mission suitability.

• Lead the onboarding and integration of new data sources, including source assessment, schema mapping, interface design, ingestion planning, validation, and operational support.

• Design and implement data-quality, monitoring, reconciliation, and validation practices that improve data accuracy, completeness, timeliness, and trustworthiness.

• Apply security and compliance requirements throughout the data lifecycle, including least privilege, encryption, segmentation, auditability, secure data handling, RMF, NIST SP 800-53, and Authority to Operate requirements.

• Develop data architecture roadmaps, reference architectures, modernization strategies, technical standards, implementation plans, and alternatives analyses.

• Support analytics, machine learning, and artificial intelligence initiatives through reliable data structures, pipelines, metadata, quality controls, and governance.

• Lead architecture reviews, design reviews, technical interchange meetings, customer briefings, and operational-readiness activities.

• Provide technical direction and mentorship to data architects, data engineers, analysts, and other technical personnel.

• Coordinate across data engineering, software development, cybersecurity, infrastructure, operations, compliance, and government teams to resolve risks, dependencies, and integration challenges.

• Communicate architecture decisions, technical tradeoffs, risks, and recommendations to senior technical, programmatic, and government stakeholders.

• B.S. in Computer Science, Data Engineering, Data Science, Information Technology, Systems Engineering, or a related field, or equivalent professional experience.

• 7+ years of progressive experience in data architecture, data engineering, enterprise architecture, database design, systems engineering, or a related discipline.

• Demonstrated experience leading complex data architecture, integration, modernization, governance, or distributed-data initiatives.

• Strong experience with data modeling, schemas, SQL, metadata, data lineage, data dictionaries, data quality, and data-governance practices.

• Experience designing data pipelines and integration solutions using ETL/ELT, APIs, databases, data lakes, streaming technologies, or event-driven architectures.

• Experience with cyber-relevant data, such as network telemetry, sensor data, logs, threat intelligence, vulnerability data, security events, or audit records.

• Experience using Python or a comparable language for data transformation, validation, analysis, automation, or pipeline development.

• Experience evaluating data architectures for scalability, performance, availability, recoverability, interoperability, security, cost, and mission requirements.

• Experience developing architecture products, technical standards, reference architectures, roadmaps, implementation plans, and integration documentation.

• Experience applying security and compliance requirements to data architectures, including access controls, encryption, auditability, least privilege, RMF, NIST SP 800-53, FISMA, FedRAMP, or Authority to Operate processes.

• Demonstrated technical leadership, customer engagement, mentoring, and cross-functional coordination experience.

• Strong analytical, problem-solving, communication, documentation, and presentation skills.

• Ability to work independently, exercise sound technical judgment, and communicate complex concepts to technical and nontechnical stakeholders.

• Knowledge of the Department of War Data, Analytics, and AI Adoption Strategy and VAULTIS principles:
  Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure.

• Active Top Secret clearance  is required.

• U.S. citizenship may berequiredbased on contract and system-access requirements.

• Master’s degree in Computer Science, Data…