Senior Data Architect - Top Secret

About the role

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental.

Responsibilities

• 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