Data Modeler

Our client is looking for a Senior Data Modeler to design and evolve trusted, analytics-ready data models that power reporting, self-serve analytics, and data products across the business.

In this role, you will be a key technical leader who partners with data engineering, BI, governance, and business stakeholders to translate business processes into scalable dimensional models, establish consistent metric definitions, and drive modeling standards across domains. You’ll influence how data products are shaped—from conceptual design through implementation—ensuring clarity, performance, and long-term maintainability.

This role is ideal for someone who combines deep modeling expertise with strong business acumen, and who can mentor others while raising the overall quality bar for analytics models.

What You’ll Do

• Enforce the design and evolution of dimensional models (facts, conformed dimensions, metrics) that support enterprise analytics and self-serve use cases.
• Lead discovery with business stakeholders to define business processes, grain, measures, hierarchies, and conformed dimensions, translating these into model specifications and semantic definitions.
• Define and enforce modeling standards (naming conventions, metric definitions, dimensional patterns, SCD strategies, documentation templates).
• Partner with data engineering to ensure performant implementations on Azure platforms (e.g., curated layers, incremental patterns, scalability, and query performance).
• Drive conformed dimension strategy and cross-domain consistency.
• Establish and maintain a metrics and dimensional standards library, promoting consistent definitions across reports and data products.
• Support semantic and consumption layers to ensure governed, consistent results for business users.
• Define data quality and reconciliation approaches (balancing, exception handling, completeness / accuracy rules) and partner with teams to operationalize them.
• Contribute to governance practices including metadata, lineage, classifications (e.g., PII), and access patterns aligned to enterprise controls.
• Produce and maintain high-quality modeling artifacts : conceptual / logical / physical designs, model diagrams, data dictionaries, mapping documents, and change logs.
• Provide technical leadership through design reviews, peer coaching, and mentorship for engineers / analysts building or extending models.

What You Bring

Preferred / Nice-to-Have

Core Competencies

Technical Environment

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