Senior Data Architect

3Core Systems, Inc

. Assess the existing data environment .

Posted 11/12/2026contractHollywood • Florida • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing enterprise data architecture, including data modeling, ETL processes, and secure data management. Proficient in collaborating with stakeholders to clarify requirements and establish data governance standards.

Highest-signal resume keywords

Data ModelingETL ProcessesData Architecture DesignSecure Data ManagementStakeholder Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Conceptual Data ModelsLogical Data ModelsPhysical Data ModelsData OwnershipData ClassificationData Quality StandardsMetadata ManagementLifecycle ManagementData IntegrationData Validation

Soft Skills

Independent WorkRequirement ClarificationSolution Recommendation

Tools & Technologies

Microsoft SQL ServerLaserficheAzureDatabricksData LakeSharePoint

Industry Keywords

Data Environment AssessmentData Access PermissionsData EncryptionSensitive Information ProtectionMixed Cloud/On-Premises Environments

Tech Stack

Tools & technologies

AzureCloudETLSQL

About the role

Key responsibilities & impact

Assess the existing data environment
Establish how data should be structured, organized, integrated, protected, and managed across multiple systems
Design conceptual, logical, and physical data models across enterprise systems
Design secure data access, permissions, encryption, and protection for sensitive information
Establish data ownership, classification, quality standards, metadata, and lifecycle management
Design enterprise data architecture and an implementation roadmap
Design ETL and integration processes for extracting, transforming, validating, and consolidating data from multiple systems and historical sources
Clarify requirements and recommend solutions with business and technical stakeholders
Support architecture across SharePoint, historical data sources, Laserfiche, and potentially Azure
Address sensitive tribal data requirements, including keeping it off the cloud

Requirements

What you’ll need

Strong experience developing conceptual, logical, and physical data models across enterprise systems
Experience designing secure data access, permissions, encryption, and protection for sensitive information
Experience establishing data ownership, classification, quality standards, metadata, and lifecycle management
Ability to assess the current environment and design an architecture and implementation roadmap
Experience designing ETL and integration processes to extract, transform, validate, and consolidate data from multiple systems, including historical sources
Strong architecture experience with internally hosted data platforms and mixed cloud/on-premises environments
Ability to work independently with business and technical stakeholders to clarify requirements and recommend solutions
Microsoft/SQL Server experience would be useful
Laserfiche experience would be a bonus
Azure, Databricks, and data lake experience are worth noting but are not knockout requirements