SR Data Architect

About the position

Seeking an experienced, self-directed, SR Data Architect to support the Army Data and Analytics Platform contract on-site at Joint Base Ft. Langley Eustis, VA. As a member of our team, you will help to assist the Army in a full range of program/product management and administration, financial, technical, and business transformation.

Responsibilities

• Designs and builds databases for data storage or processing.
• Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery.
• Builds data models and defines the structure, attributes and nomenclature of data elements.
• Evaluates new data sources for adherence to the organization's quality standards and ease of integration.
• Develops and implements data and metadata policies and procedures to support structural design and development.
• Builds, maintains, and leverages data models in alignment with data standards.
• Oversees the design, evaluation, selection, implementation, and support of major databases and metadata structures.
• Reviews and assesses database performance, risk, and financial feasibility studies.
• Provides technical direction for the maintenance of existing databases supporting evolving applications and business processes.
• Develops methods to systematically eliminate data incompatibilities among systems.
• Diagnoses, isolates, and resolves complex issues related to data infrastructure.

Requirements

• BS Degree in Information Technology, Data Science or related Field; Master's Degree preferred.
• Ten (10+) years of relevant experience required.
• Demonstrated experience in data architecture.
• In-depth understanding of database structure principles.
• Proficiency in data modeling and design, including SQL development and database administration.
• Experience in data visualization, migration, and modeling.
• Expertise in relational database management systems (DBMS).
• Experience with DBMS software, including SQL Server.
• Knowledge of database and cloud computing design, architectures, and data lakes.
• Experience in configuring and administering enterprise-level data stores, ETL and ELT methods, and batch and streaming data transport.
• Familiarity with version control systems such as Git.
• Proficiency in programming languages Java and Python.
• Experience with Linux, Unix, Solaris, and Windows.
• Familiarity with Agile development methodologies and JIRA.