Job Location : Dallas,TX, USA
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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 is a key role 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 (Erwin etc.).
• Proficiency in data modeling techniques: 3NF, dimensional modeling, data vault, and star/snowflake schemas.
• Expert-level SQL 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 data processing, analytics, and reporting needs, with a specific focus 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 as per the Medallion Architecture, ensuring performance, modularity, and reusability.
• Collaborate with data architects, engineers, and business analysts to translate business needs into scalable data models.
• Drive 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 model to support time travel kind of reporting
• Ensure compliance with data governance, data quality, and data security requirements.
• Build models to support operational & analytical reports
If qualified and interested, please send your resume to [email protected]
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