Data Modeler - Manager - Consulting - Miami​/South Florida

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We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.

• Understand and analyze business requirements to translate them into technical requirements.
• Design, build, and operate scalable data architecture and modeling solutions.
• Stay up to date with the latest trends and emerging technologies to maintain a competitive edge.
• Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology.
• Design and implement star schemas (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency.
• Define and model Slowly Changing Dimensions (SCD) with an emphasis on SCD Type 2 to accurately capture historical context.
• Determine the appropriate granularity for fact tables and identify measurable facts and their relationships to surrounding dimension tables.
• Design highly denormalized dimension structures to reduce joins and simplify querying for end‑users and analytical tools.
• Collaborate with stakeholders and cross‑functional teams to understand data requirements and design appropriate data models that align with business needs.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Manage and provide guidance to a small team of 1–3 resources.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Create detailed source‑to‑target mapping (STM) documentation and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes.
• Guide team on implementing data modelling techniques such as Kimball’s dimensional modeling.
• Develop conceptual, logical, and physical data models to support data analysis and business intelligence.
• Utilize industry‑standard data modeling tools (e.g., Erwin, Power Designer, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control.
• Having cloud knowledge and certification will be an advantage. Preferably Azure DP‑203 certification.

• A Bachelor's degree in STEM.
• 10+ Years of hands‑on experience in data modelling.
• Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling.
• Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server).
• Strong understanding of data warehousing principles, ETL/ELT architecture, data quality management, and metadata management.
• Mastery of SCD Type 2 implementation for preserving historical data.
• The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models.
• Proficiency in data modelling tools such as Erwin, Visio or Power Designer.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Knowledge of industry best practices for data modelling and database design.
• Ability to collaborate with…