Ampstek

Lead Data Modeler/Architect - Cybersecurity Canonical Model || Charlotte NC/Chandler AZ/Dallas TX

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Lead Data Modeler/Architect for a 12-month contract in Charlotte NC, Chandler AZ, or Dallas TX. Key skills include cybersecurity baseline concepts, MongoDB modeling, and metadata governance. Experience in canonical data modeling is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Indexing #"ETL (Extract #Transform #Load)" #Data Management #Metadata #Data Architecture #MongoDB #Cybersecurity #JSON (JavaScript Object Notation) #Security #Data Modeling
Role description
Role: Lead Data Modeler/Architect - Cybersecurity Canonical Model Location: Charlotte NC/Chandler AZ/Dallas TX (Onsite) Job Type: 12 Months Contract Job Description: The Lead Data Modeler will own the design and enhancement of the enterprise canonical data model for cybersecurity baselines, ensuring the model is asset agnostic, extensible, and aligned to CIS benchmarks. This role bridges security domain knowledge and enterprise data architecture. Key Responsibilities • Design and enhance the Canonical Data Model (CDM) for enterprise security baselines • Define asset agnostic entities, attributes, relationships, and metadata standards • Perform detailed mapping of baseline parameters from Excel, Word, and JSON sources to the CDM • Integrate CIS Benchmark structures to create draft and reference baselines • Partner with engineers to ensure the model is optimized for MongoDB (document design, nesting, indexing) • Define logical lineage, business definitions, and governance metadata • Support transformation rules and data standardization decisions Skills • Canonical/Enterprise Data Modeling • Cybersecurity baseline concepts, CIS Benchmarks • Document & semi structured data modeling (JSON, hierarchical models) • MongoDB data modeling best practices • Metadata management and governance