Data Architect - active TS/SCI FSP required (Req: 293-3-24)
CyrtenVirginia, United States
Posted July 17, 2024
Full Time
About the Company
Cyrten is a technology talent acquisition partner that specializes in identifying and recruiting top software engineers, IT executives, and other technical professionals. Leveraging a deep network and industry expertise, the firm offers comprehensive staffing solutions—including permanent placement, contract staffing, staff augmentation, and project management—across web development, mobile app, cybersecurity, quality assurance, and more. Cyrten’s distinctive value lies in its proven ability to match high‑performing talent to client needs quickly, allowing companies to concentrate on serving their customers while the firm handles the talent search. By combining rigorous screening, market‑aligned pricing, and a focus on long‑term partnerships, Cyrten consistently delivers quality hires that drive business growth.
Job Description
Seeking a Data Architect for a long-term program supporting an IC customer in Chantilly, VA. The Data Architect will be responsible for defining the structure of data for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) repositories, preparing documentation for database concepts, and working with data modelers to design and develop data models for structured, unstructured, and Data Lake/Lakehouse data.
Requirements
- Active TS/SCI Full Scope Polygraph (active)
- 5-10 years of experience as a Senior Data Architect
- 11-15 years of experience as an Expert Data Architect
- 16+ years of experience as a Subject Matter Expert Data Architect
- Demonstrated experience understanding data management and data governance, data catalog, data dictionary, and dataset characteristics
- Demonstrated experience in Data Warehousing, ETL tools, Data Governance, and Analytics
- Demonstrated experience with BI reporting tools like Cognos, Power BI, and Tableau
- Demonstrated experience with logical data model (entity and relationship - ER diagram), and Data Dictionary (attributes and entities and relationship)
- Demonstrated experience with relational database design, documentation, building and implementing databases
- Demonstrated experience with data life cycle - data security, data quality, data cleansing, landing zone, backup, restore, retire or archive, and data audits
Benefits
- 100% company-paid health/dental/vision care benefits
- 100% company-paid LTD/STD/Life Insurance benefits
- 401(k) with company match
- Generous holiday/vacation/sick leave policy