Data Modeler – Senior – Consulting – Miami/South Florida

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Modeler - Senior We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. The opportunity In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle. Your key responsibilities As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including:

• 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, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. To qualify for the role, you must have
• A Bachelor's degree in STEM
• 7+ 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 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 cross-functional teams to gather and analyze data requirements
• Experience in performance tuning and optimization of database queries
• Having cloud certification is an added advantage
• Strong analytical and problem-solving skills
• Excellent communication and documentation skills.
• Knowledge in Hospitality Domain is manda

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