Overview
On Site
$120,000 - $130,000
Full Time
Skills
Data Modeler
information architecture
frameworks
data governance
integration
Snowflake
Job Details
Role: Data Modeler and Information Architect
Location: Dallas, TX
Job Details
- The Data Modeler/Information Architect will craft, implement, and manage data models and architecture to support the firm s commercial real estate (CRE) investment management operations. This role involves collaborating with stakeholders to ensure data integrity, accessibility, and alignment with business goals.
- This role is responsible for crafting and handling data architectures, frameworks, and systems to optimize information flow, accessibility, and usability.
- This role requires a good understanding of commercial real estate (CRE) investment management processes, data integration, and user experience.
Responsibilities:
- Develop conceptual, logical, and physical data models for CRE databases (e.g., property data, financial metrics).
- Develop and maintain data architectures and integration frameworks tailored to CRE Investment management systems.
- Design data flows and enterprise information models to support data management processes.
- Organize information hierarchies, navigation systems, and taxonomies to ensure ease of access for users
- Optimize database performance and ensure data consistency across systems.
- Collaborate with IT teams to integrate data from various sources into a unified architecture.
- Ensure high performance, reliability, and quality of data systems by adhering to standard processes in data governance.
- Work closely with IT, operations, engineering, and business teams to align information architecture with interpersonal goals.
Qualifications
- Bachelor s degree in information systems, Mathematics, Computer Science, or a related field.
- Minimum of 8 years of experience in data modeling, and information architecture.
- Expertise in data modeling, integration frameworks, and information architecture principles.
- Proficiency in SQL, data modeling tools (e.g., ERWin).
- Proficiency in database systems (SQL/NoSQL) like Snowflake, SQL Server, Vector DB etc.
- Experience with data governance, integration, and reporting tools (e.g., Informatica, Snaplogix, Power BI).
- Proficiency in user research methods to improve information usability.
- Familiarity with industry standards for data governance and integration.
- Ability to explain sophisticated concepts to non-technical customers information architecture.
- Knowledge of CRE-specific data structures.
- Financial Industry experience preferably Commercial Real Estate
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