Sr Data Architect

Role: Senior Data Architect

Location: Hollywood, FL (Hybrid – 3 Days a week onsite)

Duration: 6+ Month Contract to Hire

Client is looking for a Senior Data Architect. Let’s start with South Florida candidates and keep the search broad while the technical scope is being defined.
The hiring manager specifically emphasized data modeling, data security, and data governance. They need someone who can assess their existing environment and establish how data should be structured, organized, integrated, protected, and managed across multiple systems.
They have emphasized that sensitive tribal data should not be stored in the cloud, so strong on-premises architecture experience is important. Their environment includes SharePoint, historical data sources, and a Laserfiche initiative intended to consolidate information. Azure was also mentioned, but its role needs clarification.
Please prioritize:

· Data Modeling: Strong experience developing conceptual, logical, and physical data models across enterprise systems.

· Data Security: Experience designing secure data access, permissions, encryption, and protection for sensitive information.

· Data Governance: Experience establishing data ownership, classification, quality standards, metadata, and lifecycle management.

· Enterprise Data Architecture: Ability to assess the current environment and design an architecture and implementation roadmap.

· ETL and Integration: Experience designing how data is extracted, transformed, validated, and consolidated from multiple systems, including historical sources.

· On-Premises Experience: Strong architecture experience with internally hosted data platforms and mixed cloud/on-premises environments.

· Discovery and Communication: Someone who can work independently with business and technical stakeholders to clarify requirements and recommend solutions.

Related public postings reference T-SQL, Power Platform, Power BI, Oracle Fusion Cloud, and Infor Lawson, so Microsoft/SQL Server experience would be useful. These are clues to the broader environment, rather than confirmed requirements for this role.
Laserfiche experience would be a bonus. Azure, Databricks, and data lake experience are worth noting, but should not be knockout requirements until we get more technical clarity.