Data Modeler

Posted 6 Days Ago
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Charlotte, NC, USA
In-Office
Expert/Leader
Information Technology • Business Intelligence • Consulting
The Role
Designs and maintains conceptual, logical, physical, canonical, conformed, and dimensional data models for enterprise data warehouses, lakehouses, data products, BI, and AI initiatives. Defines facts, dimensions, KPIs, metadata, governance, lineage, and data quality standards. Partners with governance, product, engineering, architecture, and business teams, leading model reviews and translating requirements into reusable data domains and products.
Summary Generated by Built In
Data Modeler
Charlotte, NC. Hybrid - 3 days in office.
Job Description

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.

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.




RequirementsRequired Skills
  • 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.
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.
Core Technologies

Erwin | Databricks | Snowflake | AWS | SQL | Data Warehouse | Lakehouse | Medallion Architecture | Canonical Data Modeling | BI/Analytics | Data Governance



Benefits
Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.
At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.


Skills Required

  • 10+ years of experience in data modeling or data architecture
  • Strong experience in asset management, wealth management, retirement services, or financial services
  • Hands-on experience with Erwin
  • Strong knowledge of Databricks, Snowflake, AWS, and SQL
  • Experience with canonical data modeling, dimensional modeling, lakehouse architecture, and medallion architecture
  • Strong understanding of BI and analytics, data governance, metadata, and data lineage
  • Excellent communication and stakeholder management 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 and catalog tools
  • Experience supporting AI/ML and self-service BI initiatives
  • Relevant AWS, Databricks, Snowflake, or data architecture certifications
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The Company
Chennai, Tamilnadu
295 Employees
Year Founded: 2018

What We Do

Exavalu leads the way in business and technology consulting and solution delivery, focusing on specialized digital transformation across the Insurance, Healthcare & Life Sciences, and Nonprofit industries. As an award-winning digital transformation advisor, we take pride in delivering leading-edge solutions to clients worldwide. Led by industry veterans and technology experts, we bring our deep understanding in customer experience, process automation, digital engineering, cloud, data and AI with a very strong industry core foundation. Drawing on our industry insights and technological acumen, we enable clients to drives growth, profitability, and cost optimization. We mitigate risks and elevate customer experience through our comprehensive suite of services, including strategic advisory, expert-led technology [build and maintenance], and best-in-class products and solutions. Our unwavering focus on understanding the industry's hard problems and finding the right solution has garnered recognition as the preferred ally for organizations seeking transformative growth.

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