What are the responsibilities and job description for the Data Architect position at dynamisinc?
The Data Architect for the DeCPTR-Nuclear project is responsible for designing and implementing a secure, centralized data architecture essential for nuclear radiation survivability testing. This role involves creating a robust framework that ensures efficient storage, retrieval, and management of test data, in compliance with ISO 9001 standards and MDA guidance. The Data Architect will collaborate with Data Scientists and Information Systems (IS) Business Analysts to ensure seamless data integration, accessibility, and analysis, supporting the project's strategic objectives and advancement.
Responsibilities:
- Data Architecture Design: Develop and maintain a scalable data architecture framework that supports the project's data management needs.
- Infrastructure Implementation: Oversee the implementation of data storage solutions, ensuring they are secure, efficient, and compliant with industry standards.
- Collaboration with Data Scientist: Work closely with Data Scientist to ensure that the architecture supports advanced data analysis and modeling, providing the necessary infrastructure for data-driven insights.
- Collaboration with IS Business Analyst: Partner with IS Business Analyst to design information systems that facilitate data flow, integration, and accessibility across varied platforms and stakeholders.
- Data Integrity and Security: Implement best practices for data integrity, security, and compliance, conducting regular audits and updates as necessary.
- Optimization: Continuously assess and optimize the data architecture to enhance performance and support evolving project requirements.
Requirements:
- U.S. Citizenship required
- Bachelor’s Degree required in Computer Science, Information Technology, Data Science, or a related field.
- A minimum of 5-8 years of experience in data management, database design, or IT infrastructure, preferably within the defense or aerospace sectors. Proficiency in database technologies (e.g., SQL, NoSQL), data modeling, architectures, cloud services, and big data technologies. Ability to design data models and architectures that support business needs, ensuring data integrity and accessibility.
- Certifications
- Certified Data Management Professional (CDMP)
- AWS Certified Solutions Architect or similar cloud platform certifications
Preferred:
- Technical Expertise: Strong understanding of database management systems, data warehousing, and ETL (Extract, Transform, Load) processes. Proficiency in cloud services and big data technologies.
- Analytical Skills: Ability to design data models and architectures that support business needs, ensuring data integrity and accessibility.
- Communication Skills: Excellent ability to communicate complex technical ideas to both technical and non-technical stakeholders.
- Problem-Solving Skills: Proficient in troubleshooting complex data issues and designing scalable, efficient data solutions.
- Project Management: Experience with project management methodologies and tools, including Agile or Lean practices.
- Compliance: Familiarity with ISO 9001 quality management standards and DoD regulatory requirements related to data management.