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Position: Snowflake Data Modeler Job Summary We are seeking an experienced and detail-oriented Senior Data Modeler to lead the design and development of enterprise-grade data models for a modern cloud data platform built on Snowflake and Azure. The ideal candidate will have a strong foundation in data modeling best practices, hands-on experience with Medallion Architecture (Bronze, Silver, Gold layers), and a solid understanding of banking and financial services data. This key role is responsible for ensuring data structures are scalable, reusable, and aligned with business and regulatory requirements. Pre-requisites 10+ years of experience in data modeling, data architecture, or data engineering roles. 4+ years of experience modeling data in Snowflake or other cloud data warehouses. Strong understanding and hands-on experience with Medallion Architecture and modern data platform design. Experience using data modeling tools (e.g., Erwin). Proficiency in data modeling techniques: 3NF, dimensional modeling, data vault, star/snowflake schemas. Expert-level SQL skills and experience working with semi-structured data (JSON, XML). Familiarity with Azure data services (ADF, ADLS, Synapse, Purview). Key Responsibilities Design, develop, and maintain data models that meet processing, analytics, and reporting needs, focusing on Snowflake data warehousing. Lead the design and implementation of logical, physical, and canonical data models across enterprise data domains in Snowflake. Architect data models for Bronze, Silver, and Gold layers following Medallion Architecture, ensuring performance, modularity, and reusability. Collaborate with data architects, engineers, and business analysts to translate business needs into scalable data models. Establish data model governance, including standards, documentation, versioning, and review processes. Conduct data profiling and gap analysis between source systems and target models. Participate in data integration efforts by providing source-to-target mappings and defining transformation rules. Build data models to support time travel reporting. Ensure compliance with data governance, data quality, and data security requirements. Develop models to support operational and analytical reports. Additional Information All your information will be kept confidential according to EEO guidelines. At Tietoevry, we believe in diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity, and inclusion () #J-18808-Ljbffr