What are the responsibilities and job description for the Data Modeler with strong expertise in Asset & Wealth Management or Retirement Services or Financial Services position at NLB Services?
Core Technologies : Erwin | Databricks | Snowflake | AWS | SQL | Data Warehouse | Lakehouse | Medallion Architecture | Canonical Data Modeling | BI/Analytics | Data Governance
Job Description
We are seeking an experienced Data Modeler with strong expertise in Asset & Wealth Management or Retirement Services or Financial Services. The candidate will design scalable enterprise data models supporting Data Warehouse, Lakehouse, Data Products, BI, and AI initiatives.
Key Responsibilities
· Design and maintain conceptual, logical, and physical data models.
· Develop canonical, conformed, and dimensional data models using Star and Snowflake schemas.
· Define facts, dimensions, hierarchies, measures, KPIs, and business rules.
· Support Lakehouse and Medallion Architecture (Bronze, Silver, Gold).
· Translate business requirements into reusable data domains and data products.
· Define data modeling, metadata, naming, and governance standards.
· Partner with Data Governance teams on data quality, ownership, lineage, and glossary.
· Support data catalog, semantic layer, BI, analytics, and AI initiatives.
· Lead model reviews and collaborate with business, product, engineering, and architecture teams.
Required Skills
· 12 years of experience in Data Modeling/Data Architecture.
· Strong experience in Asset Management, Wealth Management, Retirement, or Financial Services.
· Hands-on experience with Erwin.
· Strong knowledge of Databricks, Snowflake, AWS, and SQL.
· Experience with Canonical Data Modeling, Dimensional Modeling, Lakehouse, and Medallion Architecture.
· Strong understanding of BI/Analytics, Data Governance, Metadata, and Data Lineage.
· Excellent communication and stakeholder management skills.
Preferred Skills
· Experience with Data Mesh and Domain-Driven Design.
· Experience building Data Products and Semantic Data Layers.
· Knowledge of Collibra, Alation, or similar data governance/catalog tools.
· Experience supporting AI/ML and self-service BI initiatives.
· Relevant AWS, Databricks, Snowflake, or Data Architecture certifications.