Senior Data Architect
2 months ago
Company: Synergy ECP
Location: Columbia, MD
Description:
Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. Our team leverages expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security.
We thrive in an ultra-competitive environment by adhering to our name, ensuring excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP). This enables us to be an autonomous yet agile business that delivers huge results, meeting our customers' evolving demands.
Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services. We are an equal opportunity employer and consider qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected class.
Clearance Required: TS/SCI w/ FS Polygraph
Other Requirements: U.S. Citizenship
Job Responsibilities:
Assists mission organizations and data architecture teams in developing logical and conceptual data models that are crafted using a local model methodology. This methodology guides the creation of supporting UML class diagrams, which will be the source for mission physical models and associated exchange formats.
Analyzing customer requirements to produce and maintain artifacts such as Logical Data Models (LDM), Data Element Dictionaries (DED), model release documentation, and data mappings. Representing business and mission concepts, their definitions, properties, and relationships via modeling.
Collaborating with data modelers within the organization and from other organizations to develop data models of common concern. Aligning domain models and mission models with each other and with enterprise models.
Coordinating, meeting, and holding technical peer reviews with subject matter experts and stakeholders to discuss modeling requirements and perform model validation. Producing models to support the mapping of data in legacy data formats and data stores to modern formats and enterprise data stores.
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