Data Modeler - Manager - Consulting South

Overview

Location:

Anywhere in Country

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Technology – Data and Decision Science – Data Modeling – Manager

The opportunit y

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.
• Designing, building, and operating scalable data architecture and modeling solutions.
• Staying 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 (dimensional modeling approach, a core skill for this role).
• 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 and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time.
• Collaboratively determine the appropriate grain (atomic level of detail) for fact tables and identify measurable facts (metrics) and their relationships to the 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
• Developing 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 (SCD2) implementation for preserving historical data (e.g., using surrogate keys
  , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4,
  6) is also expected
• The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models.
• Proficiency in data…