Director, Information Architect
AI summary of the role
This role is for a Senior Information Architect to design and build enterprise data models from scratch for CIM Group's $35B+ real estate and infrastructure portfolio.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and develop conceptual, logical, and physical data models for data warehouses, lakes, and operational systems.
- Implement medallion architecture (bronze/silver/gold) and optimize Delta Lake features within Databricks Lakehouse.
- Establish data modeling standards, governance, and lineage tracking using Unity Catalog.
- Collaborate with business stakeholders to translate requirements into high-performing data models.
What you’ll bring
- 10+ years of experience as a Data Modeler or Data Architect.
- Expertise in dimensional modeling (Kimball), 3NF (Inmon), Data Vault, and NoSQL modeling.
- Hands-on experience with Databricks Lakehouse, Delta Lake, and medallion architecture.
- Proficiency with data modeling tools (ER/Studio, Erwin, DataGrip, SQL Developer).
Technologies
Databricks · Delta Lake · Unity Catalog · Snowflake · MongoDB · Azure · Spark · SQL · ER/Studio · Erwin · Data Vault · Kafka
Source and classification
Internal deployment & tooling · Evidence for this classification:
analytical, operational, and reporting needs across CIM's $35B+ portfolio spanning real estate equity, infrastructure, and private credit investments. This role will establish data modeling standards and techniques from the ground up, developing and managing detailed data models deployed across Databricks Lakehouse as the primary platform, with integration to Snowflake and MongoDB for specific use cases. The Senior Information Architect will play a foundational role in building enterprise data architecture capabilities where mature standards do not yet exist. This highly collaborative role requires extensive partnership with business stakeholders across Fund Accounting, FP&A, Investor Relations, Sales, and Investments teams to understand data requirements and translate them into robust, high-performing data models. The Senior Information Architect will shape the enterprise data
More from the job description
ABOUT CIM GROUP: CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest. Back in 1994, our three founders focused on projects in Southern California neighborhoods. Today, we are a diverse team of 900+ employees with projects across the Americas. Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure. Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come. Join us and make an impact today! POSITION PURPOSE: The Senior Information Architect will be responsible for designing, developing, and maintaining scalable, efficient, and well-documented data models that support analytical, operational, and reporting needs across CIM's $35B+ portfolio spanning real estate equity, infrastructure, and private credit investments. This role will establish data modeling standards and techniques from the ground up, developing and managing detailed data models deployed across Databricks Lakehouse as the primary platform, with integration to Snowflake and MongoDB for specific use cases. The Senior Information Architect will play a foundational role in building enterprise data architect [... source excerpt omitted ...] ghly collaborative role requires extensive partnership with business stakeholders across Fund Accounting, FP&A, Investor Relations, Sales, and Investments teams to understand data requirements and translate them into robust, high-performing data models. The Senior Information Architect will shape the enterprise data landscape, supporting analytics, governance, and operational data needs across Azure and modern data ecosystems. RESPONSIBILITIES: Business Partnership & Requirements Gathering Partners extensively with business stakeholders across Fund Accounting, FP&A, Global Client Group, and Investments teams to understand data requirements, pain points, and use cases. Translate c [... source excerpt omitted ...] ing solutions to ensure alignment with actual business needs. Collaborate with data analysts, data scientists, MLOps engineers, and application developers to understand technical requirements and ensure models support downstream use cases. Build trust and influence across teams by demonstrating business value and explaining technical constraints in accessible terms. Data Model Design & Development Design and develop conceptual, logical, and physical data models for various data initiatives, including data warehouses, data lakes, operational data stores, and transactional systems. Specialize in designing highly optimized dimensional models (star schemas, snowflake schemas) for an
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