Data Modeler

Exavalu Solutions India • Charlotte, NC

1d • Hybrid

About The Position

We are seeking an experienced Data Modeler with strong expertise in Asset & Wealth Management, Retirement Services, or Financial Services. The candidate will design scalable enterprise data models supporting Data Warehouse, Lakehouse, Data Products, BI, and AI initiatives.

Requirements

• 10+ 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.

Nice To Haves

• 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.

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.

Benefits

• Flexibility, adapting to the needs of employees, customers, and the business.
• Part-time work option.
• Working outside normal 9-5 business hours option.
• Working remotely option.
• Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.
• Commitment to building a diverse and inclusive workforce.
• Culture that embraces all individuals and promotes diverse perspectives.
• Opportunity to make an impact and grow your career.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed