Data Architect

at  LOCKHEED MARTIN CORPORATION

BASIC QUALIFICATIONS:

• Experienced with Data governance & mgt tools such as Collibra, Protégé, Tibco, Denodo and others
• Demonstrated knowledge of Enterprise Architecture and Solution Architecture principles and best practices
• Demonstrated knowledge of the data science discipline including analytics, Machine Learning and Artificial Intelligence
• Extensive technical skills, such as data modeling, database design, SQL, programming, cloud computing, and/or data visualization
• Systems Engineering experience and understanding of systems thinking skills and behaviors
• Knowledge and application of Systems Engineering processes and functions in one or more of the following:
  a) Systems Engineering standards such as ISO 15288, SAE-649, ANSI/EIA 632, Mil-STD-499 etc.
  b) Systems Analysis (structured and OOA) and Model Based Engineering
  c) Requirements engineering and management

d) Configuration, Change & Product Line management

• Over 12 years minimum experience in data management, analysis, and/or engineering

DESIRED SKILLS:

• Experience with development and execution of Design Reviews (SRR, SDR, PDR, and/or CDR) and Program Status Reviews
• Experience with space, missile or launch systems design, development, integration, test
• Experience throughout engineering lifecycle (system definition, design, build, test and operational deployment)
• System-of-systems integration experience with one or more subsystems or fields outside of Systems Engineering (e.g., Electrical, Mechanical, Propulsion, RF, Software, etc.)
• Demonstrated experience integrating systems to deliver a sophisticated system
• Ability to incorporate and lead across subcontractors, suppliers, and internal IPTs
• Ability to work in a fast-paced, diverse team environment
• Experience working in an agile environment using tools such as the Atlassian tool suite
• Experience leading Digital Transformation and Digital Engineering efforts for large programs
• Expertise defining, building and supporting digital twins, digital threads and graphbases
• Ability to mentor others or provide training
• Understanding of DoD cybersecurity requirements for systems, software, and networks

EXPERIENCE LEVEL:

Experienced Professional

• Developing and implementing an overall organizational data strategy that is in line with business processes and goals.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with data quality, security, and compliance standards.
• Coordinating and collaborating with cross-functional teams, stakeholders, and users to understand their data needs and provide solutions.
• Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data.
• Creating and implementing data management processes and procedures, such as data governance, data modeling, data integration, data migration, data quality, and data backup.
• Researching data acquisition opportunities and developing application programming interfaces (APIs) to retrieve data from various sources