
Senior Data Modeler
4 weeks ago
About the Role :
We are seeking a Senior Data Modeler with deep expertise in Snowflake and Data Vault 2.0 to support the development and migration of enterprise data solutions. You will be working as part of a collaborative team on a major data warehouse initiative with a focus on cloud transformation, enterprise data governance, and modeling best practices.
As a key member of the data architecture team, you will play a central role in designing, developing, and maintaining conceptual, logical, and physical data models, as well as implementing Data Vault 2.0 modeling frameworks for enterprise-grade Snowflake-based warehouses.
Key Responsibilities :
- Collaborate with the Cox FTE team to build and optimize a Snowflake-based data warehouse to support BI, analytics, and regulatory reporting requirements.
- Design and implement Data Vault 2.0-based data models using industry-standard tools like ERWIN, ER/Studio, or equivalent.
- Develop and maintain conceptual, logical, and physical data models ensuring alignment with enterprise data architecture standards.
- Translate complex business requirements and rules into scalable data models and data mapping specifications for Snowflake.
- Support data migration efforts from legacy platforms (e.g., SQL Server) to Snowflake.
- Partner with data integration teams to provide guidance on metadata, lineage, and business rules translation.
- Ensure model compliance with enterprise standards, governance frameworks, and audit requirements.
- Provide coaching and guidance to development teams on data modeling best practices and repository tool usage.
- Define data ownership, obtain stakeholder approvals, and effectively communicate data models to technical and non-technical audiences.
- Analyze performance impacts of data models and identify opportunities for optimization and risk mitigation.
Required Qualifications :
- Bachelor's degree in Computer Science, Information Systems, or a related field with 4+ years of relevant experience
- (Masters degree with 2+ years of experience also accepted. In lieu of a degree, 6+ years of relevant work experience required.)
- Minimum 3+ years of hands-on data modeling experience in enterprise data warehouse environments.
- Strong proficiency in data modeling standards, especially Data Vault 2.0, and experience implementing it in Snowflake.
- Experience with SQL Server, Snowflake, and Azure cloud data environments.
- Skilled in using modeling tools like ERWIN, ER/Studio, or equivalent.
- Strong understanding of data governance, metadata management, and data integration pipelines.
- Proficient in SQL, with experience developing data mapping specifications for migration and integration.
- Excellent communication skills capable of translating abstract concepts into concrete data structures for varied audiences.
- Demonstrated ability to lead and influence in matrixed team environments and provide technical leadership.
(ref:hirist.tech)
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