Data Modeler - Manager - Consulting - Miami/South Florida

Technology – Data and Decision Science – Data Modeling – Manager

Location: Anywhere in Country

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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.

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.

Your Key Responsibilities

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 business requirements are translated into effective technical solutions.

• 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, 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, you must have

• 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 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.

Ideally, you’ll also have

• 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

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.

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What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

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