Full-Time Senior Data Modeler - Snowflake

We are seeking an experienced Data Modeler to join our client's data transformation journey. The organization is currently transitioning from multiple legacy systems to a centralized data repository based on Snowflake, with a comprehensive data catalog maintained in Collibra. The ideal candidate will play a key role in designing, developing, and maintaining data models that facilitate seamless data integration, accessibility, and governance within this modernized infrastructure.

Key Responsibilities:

• Design and develop scalable and efficient data models to support the transition to Snowflake.
• Collaborate with data architects, data engineers, and business stakeholders to understand data requirements and translate them into optimal data structures.
• Ensure that data models align with organizational data governance policies and Collibra catalog standards.
• Analyze legacy systems and define data migration strategies to ensure data integrity and consistency.
• Maintain documentation of data models, definitions, relationships, and metadata within Collibra.
• Optimize data models for performance and scalability within Snowflake.
• Participate in data quality assessments and contribute to establishing best practices for data management.
• Provide expertise in resolving data-related issues and recommend improvements.
• Work closely with cross-functional teams to ensure that data models meet business objectives and compliance requirements.

Required Qualifications:

• Relevant professional experience in data modeling, data architecture, or related fields.
• Formal education in Computer Science, Information Systems, Data Science.
• Proven experience in data modeling, particularly within Snowflake environments.
• Strong understanding of data warehousing concepts, dimensional modeling, and relational databases.
• Experience with Collibra or similar data catalog tools.
• Proficiency in SQL and data modeling tools (e.g., ER/Studio, ERwin, or similar).
• Familiarity with data governance principles and best practices.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively within cross-functional teams.

Preferred Qualifications:

• Experience in data migration from legacy systems to modern data platforms.
• Understanding of data privacy regulations and compliance standards.
• Experience with Agile methodologies and working in dynamic, fast-paced environments.
• Familiarity with data integration tools and ETL processes.

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