Data Modeler

Job Description

• The Client seeking an experienced Data Modeler with strong Multifamily (MF) data experience to join the team.
• The ideal candidate will have expertise in designing and implementing logical and physical data models, ensuring data integrity, consistency, and scalability to support business objectives.
• This role requires deep knowledge of Multifamily datasets, data governance, and data architecture best practices.

Key Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models to support business requirements and data strategies.
• Work closely with business stakeholders, data architects, and engineering teams to gather requirements and translate them into effective data structures.
• Model Multifamily (MF) data entities, relationships, and processes, ensuring alignment with industry standards and organizational needs.
• Ensure data quality, governance, and compliance across different systems and platforms.
• Optimize data models for performance, scalability, and integration with BI, analytics, and reporting tools.
• Support data migration, integration, and mapping initiatives involving Multifamily datasets.
• Create and maintain comprehensive documentation of data models, metadata, and design standards.
• Collaborate with cross-functional teams to ensure effective data management and reporting capabilities.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Information Systems, Data Management, or related field.
• 5+ years of experience as a Data Modeler, Data Architect, or similar role.
• Proven expertise with Multifamily (MF) data and related industry datasets.
• Strong knowledge of data modeling tools (e.g., Erwin, ER/Studio, PowerDesigner).
• Experience with relational databases (Oracle, SQL Server, PostgreSQL, Snowflake, etc.) and cloud data platforms (AWS, Azure, Google Cloud Platform).
• Solid understanding of data governance, data quality, and master data management (MDM).
• Hands-on experience with ETL, data warehousing, and analytics platforms.
• Excellent problem-solving, communication, and documentation skills.