Senior Data Architect.

About the role

The Senior Data Architect will be responsible for planning, development, implementation, and administration of systems for the acquisition, storage, and retrieval of data. They will apply and adapt new and improved approaches to data mining, data warehousing, and related data storage and retrieval systems.

Responsibilities

• Develop guidelines for the application of data modeling practices to the development of data management applications.
• Diagnose and resolve the most complex data management problems and issues.
• Select modeling methodologies and tools, and generate models that are capable of accommodating new and unanticipated business requirements and processes.
• Maintain and revise existing models.
• Design, develop, modify, test, install, implement, and support new or existing applications software.
• Lead a multi-functional development project in software analysis, design, development, and implementation for a new system or major enhancement to an existing system.
• Draft project plans and identify resource requirements.
• Ensure customer and management involvement throughout the software development process.
• Resolve critical issues affecting the configuration of the IT infrastructure.
• Coordinate the demonstration of new and enhanced applications to customers and management.
• Optimize applications for state-of-the-art technology and functionality.
• Lead the applications development process to identify and correct weaknesses in critical performance parameters and variances in achieving cost, schedule, and performance goals.

Requirements

Conditions of employment: Applicants are encouraged to respond to four short, free-response, essay questions in the questionnaire. You must answer all of these questions completely and truthfully. Key Requirements: Must be a United States Citizen. Must be able to pass a background investigation. Must be able to pass a Selective Service registration requirement. Must be suitable for Federal employment. Must be able to successfully complete a probationary period. Qualifications: Basic Requirement: Experience must be IT related; the experience may be demonstrated by paid or unpaid experience and/or completion of specific, intensive training (for example, IT certification), as appropriate. For all positions individuals must have IT-related experience demonstrating each of the four competencies listed below. The employing agency is responsible for identifying the specific level of proficiency required for each competency at each grade level based on the requirements of the position being filled. Attention to Detail - Is thorough when performing work and conscientious about attending to detail. Customer Service - Works with clients and customers to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services. Oral Communication - Expresses information to individuals or groups effectively, taking into account the audience and nature of the information; listens to others, attends to nonverbal cues, and responds appropriately. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations. Specialized Experience Requirements: A qualified candidate's resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-12) in the Federal service. Specialized experience is defined as experience primarily focused on senior-level data architecture and lead data modeling. This includes 1) leading the design, development, and maintenance of complex logical and physical data models for enterprise data assets, such as data warehouses, data marts, and integration platforms, 2) applying and adapting new and improved architectural approaches and technologies to design and implement enterprise data integration, data warehousing, and data lake solutions, 3) developing and enforcing guidelines for enterprise data modeling practices, ensuring adherence to architectural standards, and planning and architecting major data integration projects, including the migration of existing ETL solutions to new technologies and platforms, and 4) diagnosing and resolving the most complex data management problems and issues, and providing expert technical advice and recommendations regarding data architecture and modeling strategies.