Data Architect/Scientist

$122,200 - $220,900/Yr

Leidos - Dunn Loring, VA

Full-time - Senior

Dunn Loring, VA

Professional, Scientific, and Technical Services

About the position

Leidos National Security Sector is seeking a Data Architect/Scientist to support an enterprise IT program for an Intelligence Community client. This role is pivotal as it involves working with multiple application teams to manage a portfolio that serves as the central repository for all client-created applications. The successful candidate will be responsible for developing data solutions that ensure effective and secure storage of information, analyzing system requirements, and implementing migration methods for existing data. The position requires a strong analytical mindset and the ability to work independently while collaborating with both development and management teams. In this role, you will be the sole data scientist on the team, leveraging your strong communication skills and prior experience to provide technical direction and strategic oversight in the design and development of databases and metadata structures. You will be tasked with developing data and metadata policies, monitoring industry trends, and presenting technical recommendations to the client. Your responsibilities will also include overseeing the evaluation and selection of major databases, assessing database performance, and providing guidance in the creation and implementation of new data standards. The portfolio you will support includes a custom production application for sensitive data search and discovery, a workflow and research application for candidate management, and a knowledge management tool for centralized product storage. Your expertise in data architecture will be crucial in ensuring that these systems are integrated effectively and perform optimally, while also addressing any data incompatibilities that may arise. This position requires an active TS/SCI with Polygraph security clearance and offers a competitive salary range of $122,200 to $220,900, depending on experience and qualifications. If you are ready to make an impact and thrive in a dynamic environment, we encourage you to apply.

Responsibilities

• Develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards.
• Monitor industry trends and directions in database technology and tools.
• Develop and present substantive technical recommendations to the client.
• Oversee the design, evaluation, selection, implementation and support of major databases and metadata structures.
• Review and evaluate database performance and risk and financial analysis feasibility studies.
• Oversee the strategic structural design and development of databases and metadata.
• Provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes.
• Provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance.
• Provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases.
• Provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures.
• Review and assess technical proposals requesting changes or upgrades to the existing databases.
• Serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development.
• Strategically plan new designs for integration into a database structure, using knowledge of the characteristics of the systems being added to the structure and the specifications for database interfaces to ensure effective integration and optimal database performance.
• Develop methods of ensuring data incompatibilities among systems are systematically eliminated.
• Diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure.

Requirements

• Bachelor's degree and 12+ years of experience or Master's degree with 10+ years of experience. Additional experience may be substituted in lieu of a degree.
• Ability to work the office's core hours of 10:00 am - 4:00 pm Monday through Friday.
• Demonstrated experience with client's networks, systems and services.
• Demonstrated experience in data architecture.
• Demonstrated experience with and understanding of database structure principles.
• Demonstrated experience in data modeling and design, including SQL development and database administration.
• Demonstrated experience in data visualization, data migration and data modeling.
• Demonstrated experience in relational database management systems (DBMS).
• Demonstrated experience in DBMS software, including SQL Server.
• Demonstrated experience in database and cloud computing design, architectures and data lakes.
• Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport.
• Demonstrated experience gathering and analyzing system requirements.
• Demonstrated experience with Version control systems such as Git.
• Demonstrated experience with programming languages Java and Python.
• Demonstrated experience with Linux, Unix, Solaris and Windows.
• Demonstrated experience with Agile development methodologies and JIRA.
• Demonstrated experience working in a fast-paced, technically challenging area; ability to anticipate and manage changes or problems; assess impacts and recommend sound solutions.
• Demonstrated experience in systems development, including system development life cycle, project management approaches and requirements, and design and testing techniques.

Nice-to-haves

• Demonstrated experience delivering solutions with AWS cloud services.
• Demonstrated experience with AWS Cloud storage technologies including RDS, DynamoDB and S3.
• Demonstrated experience in database technologies to include but not limited to Oracle, SQLServer, and Postgres.
• Demonstrated experience with Oracle Databases.
• Demonstrated experience with full stack environment.
• Demonstrated experience building automation tools such as Gradle, Maven.
• Demonstrated experience with the development of system prototypes and proof of concept in order to demonstrate proper application of design principles.
• Demonstrated experience with the client's authentication and authorization process.
• Demonstrated experience with supporting enterprise level production systems.
• Demonstrated experience briefing technical topics to a non-technical audience.
• Demonstrated experience in strong oral and written communication.
• AWS Certification or other relevant certifications.