Senior Data Modeler (Snowflake) - Digital BankingExpleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

Location: Onsite (Minneapolis, MN)

Employment Type: Full-Time

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 - Digital Banking 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

What's in It for You?

• High‑Impact Modeling Work - Design enterprise‑level data models that power analytics, reporting, and data products
• Modern Cloud Stack - Work hands‑on with Snowflake and cloud‑based data platforms
• Strategic Visibility - Partner with data engineering, analytics, and governance teams on core data decisions
• Modeling Ownership - Influence data standards, structure, and quality across the organization
• Career Growth - Expand your Snowflake and enterprise data modeling expertise in a mature data environment
• Collaborative Culture - Join a team that values clarity, data quality, and thoughtful design

Your Role & Responsibilities

You will:

• 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

Skills & Experience You Should Possess

• 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

Bonus Points If You Have

• 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

Education & Certifications You Need

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field
• Data modeling or data governance certifications are a plus, but not required

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