Data Modeler - Manager - Financial Services - Consulting

EYNew York, NY
$125,500 - $261,600Hybrid

About The Position

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. Design and deliver scalable, high-quality data models that enable enterprise analytics, reporting, and AI use cases. Translate business requirements into optimized data structures aligned with enterprise data architecture and governance standards.

Requirements

  • 10+ years in data modeling / data architecture
  • Strong expertise in dimensional modeling (Kimball), normalization, and/or Data Vault
  • Hands-on experience with cloud data platforms (Snowflake, Databricks)
  • Proficiency in SQL and data warehousing concepts
  • Experience with data modeling tools (ERwin, ER/Studio, PowerDesigner)

Nice To Haves

  • Exposure to Dimensional Modeling, Data Vault 2.0 / Lakehouse architectures
  • Familiarity with data governance tools (Collibra, Alation)
  • Experience supporting AI/ML or advanced analytics data structures
  • Domain experience in financial services / enterprise data modernization
  • Strong analytical and problem-solving capability
  • Ability to bridge business and technical stakeholders
  • Deep understanding of data process lifecycle
  • Clear communication and documentation skills

Responsibilities

  • Develop conceptual, logical, and physical data models across modern data platforms (e.g., Snowflake, Azure, Databricks)
  • Design dimensional (star/snowflake) and normalized models based on use case
  • Translate business requirements into entities, attributes, relationships, and business rules
  • Partner with data engineers to define ETL/ELT mappings, transformations, and lineage
  • Ensure alignment with enterprise architecture, data standards, and governance policies
  • Drive data quality, consistency, and metadata management (e.g., Collibra/Alation)
  • Optimize models for performance, scalability, and cost efficiency
  • Maintain data dictionaries, lineage, and design documentation

Benefits

  • medical and dental coverage
  • pension and 401(k) plans
  • a wide range of paid time off options
  • flexible vacation policy
  • designated EY Paid Holidays
  • Winter/Summer breaks
  • Personal/Family Care
  • other leaves of absence
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