EY
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Location: Anywhere in Country
Technology – Data and Decision Science – Data Modeling – Manager
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. 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) using the 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 and preserve the full historical context of dimension attributes. Collate appropriate grain 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 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 the 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 modelling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. Possess cloud knowledge and certification – Azure DP‑203 certification is preferred. Qualifications
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 modelling. Experience with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server, Azure Synapse). Solid grasp of data warehousing principles, ETL/ELT architecture, data quality management, and metadata management. Mastery of SCD Type 2 implementation for preserving historical data, with familiarity of other SCD types. 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 designing and implementing database structures and performing performance tuning and query optimization. Strong analytical and problem‑solving skills. Excellent communication and documentation skills. Knowledge in Hospitality Domain is mandatory. Additional Ideal Qualifications
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 – Azure DP‑203 is preferred. 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. Ability to foster an inclusive environment that values diverse perspectives and empowers team members. Fluency in Spanish or Italian is a plus. What We Look For
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. What We Offer You
A comprehensive compensation and benefits package. Base salary ranges: $125,500–$230,200 (US all locations), with specific 401(k), medical & dental, paid time off, and flexible work arrangements. Hybrid model with 40‑60 % in‑person client engagement, tailored to each project. Unrestricted vacation policy and generous paid holidays, family care leave, and other leave options. EY is an Equal Opportunity, affirmative action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans.
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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. 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) using the 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 and preserve the full historical context of dimension attributes. Collate appropriate grain 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 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 the 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 modelling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. Possess cloud knowledge and certification – Azure DP‑203 certification is preferred. Qualifications
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 modelling. Experience with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server, Azure Synapse). Solid grasp of data warehousing principles, ETL/ELT architecture, data quality management, and metadata management. Mastery of SCD Type 2 implementation for preserving historical data, with familiarity of other SCD types. 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 designing and implementing database structures and performing performance tuning and query optimization. Strong analytical and problem‑solving skills. Excellent communication and documentation skills. Knowledge in Hospitality Domain is mandatory. Additional Ideal Qualifications
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 – Azure DP‑203 is preferred. 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. Ability to foster an inclusive environment that values diverse perspectives and empowers team members. Fluency in Spanish or Italian is a plus. What We Look For
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. What We Offer You
A comprehensive compensation and benefits package. Base salary ranges: $125,500–$230,200 (US all locations), with specific 401(k), medical & dental, paid time off, and flexible work arrangements. Hybrid model with 40‑60 % in‑person client engagement, tailored to each project. Unrestricted vacation policy and generous paid holidays, family care leave, and other leave options. EY is an Equal Opportunity, affirmative action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans.
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