Data Modeler Lead Consultant

4 hours, 10 minutes ago
Full-time
Lead
Business Intelligence
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications, reporting, analytics, and data products.
  • Apply 3NF principles to create normalized relational structures that minimize redundancy and preserve data integrity.
  • Develop dimensional models, including star and snowflake schemas, facts, dimensions, and hierarchies, for BI and analytical reporting.
  • Design and optimize data warehouse structures for efficient data integration, storage, transformation, and retrieval.
  • Write, review, and optimize complex SQL queries to validate models, resolve data issues, and improve performance.
  • Translate business requirements, reporting needs, and data relationships into effective modeling solutions.
  • Establish data modeling standards, naming conventions, documentation, metadata, and best practices.
  • Partner with data engineering and ETL/ELT teams to implement models across enterprise data platforms.
  • Evaluate existing data architectures and recommend improvements to scalability, performance, data quality, and maintainability.
  • Lead design discussions and model reviews, provide technical guidance, and support data governance and master data management initiatives.

Requirements

  • 8+ years of relevant experience in data modeling or a related field.
  • Strong hands-on experience with 3NF modeling and relational database design.
  • Expertise in dimensional modeling, including star and snowflake schemas.
  • Solid understanding of data warehousing concepts, architecture, and implementation.
  • Proficiency in SQL, database structures, data relationships, and query optimization.
  • Experience translating complex business requirements into scalable enterprise data models.
  • Strong communication, stakeholder management, analytical, and problem-solving abilities.
  • Experience with Snowflake or other enterprise cloud data platforms (preferred).
  • Hands-on knowledge of ERWin or ER/Studio data modeling tools (preferred).
  • Familiarity with Databricks, Microsoft Fabric, SAP data environments, ETL/ELT, data integration, metadata management, and data governance (preferred).

Interested in this position?

Apply directly on the company website

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