Sr Data Architect

3Core Systems , Inc•Hollywood, FL
•Hybrid

About The Position

The Senior Data Architect will assess the existing data environment and establish how data should be structured, organized, integrated, protected, and managed across multiple systems. The role will design an enterprise data architecture and implementation roadmap, with particular emphasis on data modeling, security, and governance. The environment includes SharePoint, historical data sources, and a Laserfiche initiative intended to consolidate information. Strong on-premises architecture experience is important because sensitive tribal data should not be stored in the cloud. Azure has also been mentioned, but its role in the environment needs clarification. The architect will work independently with business and technical stakeholders to clarify requirements and recommend solutions. This is a hybrid role based in Hollywood, Florida, with three days per week onsite, and is described as a contract-to-hire position of at least six months.

Requirements

  • 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 an existing environment and design an enterprise data architecture and implementation roadmap.
  • Experience designing ETL and integration processes for consolidating 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.

Nice To Haves

  • Microsoft and SQL Server experience would be useful; related public postings reference T-SQL and Power Platform.
  • Laserfiche experience.
  • Azure, Databricks, and data lake experience, although these are not stated as knockout requirements.
  • Related public postings reference Power BI, Oracle Fusion Cloud, and Infor Lawson; these are clues to the broader environment rather than confirmed requirements.

Responsibilities

  • Assess the existing data environment and design an enterprise data architecture and implementation roadmap.
  • Develop conceptual, logical, and physical data models across enterprise systems.
  • Design data access, permissions, encryption, and protections for sensitive information.
  • Establish data governance practices covering ownership, classification, quality standards, metadata, and lifecycle management.
  • Design ETL and integration approaches to extract, transform, validate, and consolidate data from multiple systems, including historical sources.
  • Work with business and technical stakeholders to clarify requirements and recommend solutions.
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