Data Architect

About the position

SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. We are seeking a highly motivated Data Architect to join our National Intelligence Program supporting the development, operations and maintenance, and modernization of a complex, hybrid on-premises and cloud enterprise IT environment. As a Data Architect, you will work to support program transitions and modernization efforts by providing leadership to a few agile integrated product teams consisting of DevSecOps Engineers, Cyber Security Engineers, Data Engineers, System Administrators, Network Engineers, Systems Engineers, and Subject matter experts developing capabilities to include data visualization tools, cross domain capabilities, data ingestions, extraction, and modeling, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning implementation. You will be a part of an agile, fast paced team focused on increasing data throughput, integrity, security, as well as availability of enterprise software solutions. This position is in Chantilly, VA. This contract is expected to be awarded in Summer 2025.

Responsibilities

• Develop architectural strategies for data modeling, design, and implementation to meet enterprise requirements.
• Work closely with government customers and relevant stakeholders to validate customer requirements.
• Assist in providing strategic direction and technical expertise, and contribute to the IT Data Governance Boards and working groups.
• Assist in developing data implementation roadmaps and data standards for interoperability, quality, and entity and data attributes that will manage dataset inventory and help increase the data literacy across the whole organization.
• Helps develop and deliver long-term strategic goals for data architecture, in conjunction with data owners, mission managers and stakeholders.
• Design and implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data.
• Participate in data standards committees and drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.
• Provide leadership for complex projects throughout the development of project work plans, milestone tracking, and coordination of efforts.
• Creates and implements data business rules and data lifecycle management and data mapping documents and assist customer in mapping of legacy data models to target data models.
• Contributing to and collaborating on executive-level briefings and develop best practices, processes and standards for data migration.
• Strong data architecture and analytical skills are essential to complete job requirements successfully.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Data Engineering, or related technical field of study with a minimum of 12 years of experience (or Master's degree equivalent).
• 5+ years of total professional experience in a technical setting as a Data Architect, or related role.
• Experience developing requirements for the integration of data services, and requirements for a centralized data catalog, and developing requirements for data management technology.
• Experience participating in data standards committees to drive/manage operational data standards to include investigating, implementing, improving, and converting legacy data standards.
• Experience creating data mapping documents and assist customer in mapping of legacy data models to target data models.
• Applying new data technologies, data management processes, system analysis principles and techniques, process engineering concepts, and assessing data solutions for compliance and conformance with guidelines and policies.
• Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment.
• Experience with Programming languages like Python, Java, SQL and Cloud technologies.
• Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules.

Nice-to-haves

• Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView).
• Database administrator certification such as AWS, Microsoft, Oracle, or MongoDB.
• Demonstrated experience with data architecture tools to include or similar to ER/Studio, Erwin or Lucid Chart.
• Have experience working in Agile and DevOps environments.