Senior Data Modeler (Snowflake)
Expleo•Minneapolis, MN
•Onsite
About The Position
Shape Modern Data Foundations with Snowflake. Are you a seasoned Data Modeler who loves turning complex business processes into clean, scalable data structures? Trissential is partnering with a forward‑thinking enterprise client to bring on a Senior Data Modeler who will play a critical role in designing and evolving data models within a modern Snowflake‑centric data ecosystem. If you thrive in modern cloud data environments and enjoy collaborating across technical and business teams, this role was built for you.
Requirements
- 10+ years of experience in data modeling, data analysis, or advanced data roles
- Strong expertise in conceptual, logical, and physical data modeling
- Hands‑on experience modeling data in Snowflake or similar cloud data platforms
- Strong SQL skills for data analysis and validation
- Experience with data profiling and data quality assessment
- Ability to translate complex business concepts into structured data models
- Familiarity with metadata management, lineage, and governance concepts
- Strong communication skills across technical and non‑technical audiences
Nice To Haves
- Python experience for data profiling or analysis
- Experience working with columnar or lakehouse architectures
- Ability to interpret semi‑structured data (JSON, etc.)
- Exposure to enterprise data standards or data cataloging tools
- Data modeling or data governance certifications are a plus, but not required
Responsibilities
- Lead the end‑to‑end data modeling lifecycle, from conceptual through physical models
- Design logical and physical data models optimized for Snowflake and analytical workloads
- Translate business requirements into clear, scalable data structures
- Partner with data engineers to ensure models are efficiently implemented in Snowflake
- Support model‑to‑source and model‑to‑target mappings
- Ensure models support performance, scalability, and secure data access
- Maintain data dictionaries, lineage documentation, and metadata artifacts
- Collaborate with data governance teams on naming standards and data quality rules
- Participate in design reviews, change management, and impact analysis for data changes
Benefits
- Medical
- dental
- vision
- free tele‑health
- HSA with company contribution
- life and disability insurance
- 401k with matching
- Paid Time Off
- Mentorship
- hands‑on learning
- exposure to enterprise‑scale data initiatives
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What This Job Offers
Job Type
Full-time
Career Level
Senior
