EY
Job Title
Data Modeler – Manager – Consulting – Miami/South Florida
Location: Anywhere in Country
Technology Data and Decision Science – Data Modeling – Manager
Your Key Responsibilities
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), emphasizing SCD Type 2, to accurately capture historical context.
Determine appropriate grain for fact tables and identify measurable facts (metrics) and their relationships to 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.
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.
Having cloud knowledge and certification will be an advantage; preferably Azure DP‑203 certification.
To Qualify for the Role
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.
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 mandatory.
Ideal Additional Skills
Strong business acumen with the ability to manage complex client relationships.
Proven experience in managing and leading teams within a dynamic environment.
Excellent communication and interpersonal skills.
Cloud knowledge and certification will be an advantage; preferably Azure DP‑203 certification.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real‑world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Spanish speaking.
Italian speaking.
Compensation and Benefits
Base salary range $125,500 to $230,200 (US). In certain metro areas $150,700 to $261,600.
Medical, dental, pension, 401(k) plans, and a wide range of paid time off and holiday benefits.
Hybrid flexible work environment with 40‑60% in‐person requirement.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
EY accepts applications for this position on an ongoing basis.
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Location: Anywhere in Country
Technology Data and Decision Science – Data Modeling – Manager
Your Key Responsibilities
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), emphasizing SCD Type 2, to accurately capture historical context.
Determine appropriate grain for fact tables and identify measurable facts (metrics) and their relationships to 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.
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.
Having cloud knowledge and certification will be an advantage; preferably Azure DP‑203 certification.
To Qualify for the Role
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.
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 mandatory.
Ideal Additional Skills
Strong business acumen with the ability to manage complex client relationships.
Proven experience in managing and leading teams within a dynamic environment.
Excellent communication and interpersonal skills.
Cloud knowledge and certification will be an advantage; preferably Azure DP‑203 certification.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real‑world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Spanish speaking.
Italian speaking.
Compensation and Benefits
Base salary range $125,500 to $230,200 (US). In certain metro areas $150,700 to $261,600.
Medical, dental, pension, 401(k) plans, and a wide range of paid time off and holiday benefits.
Hybrid flexible work environment with 40‑60% in‐person requirement.
Equal Employment Opportunity EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
EY accepts applications for this position on an ongoing basis.
#J-18808-Ljbffr