Data Architect

Location and Job Type:

Contract - Remote (CST or EST only).

Contract to hire - Hybrid in Tempe, AZ or Charlotte, NC

Contact: Email resume to dkellogg@judge.com

About the role
We are seeking a Data Architect to help shape how a global enterprise organizes, governs, and delivers data as trusted products. This role focuses on building scalable, reusable data architecture within a modern cloud platform using Snowflake, Databricks, and Azure. You will collaborate with engineering, governance, analytics, BI, and business teams to design practical solutions that support enterprise decision-making.

Responsibilities

• Design and maintain scalable data models across enterprise domains, including dimensional models, facts, dimensions, and keys
• Develop reusable structures that support analytics, reporting, and data products
• Translate source systems into clear data flows across Raw, Cleansed, Refined, and Curated layers
• Partner with data governance teams to align on standards such as naming, ownership, lineage, and data quality
• Define where business rules and data validation should live across the platform
• Collaborate with data engineering teams to implement solutions in Snowflake, Databricks, and Azure
• Work with business stakeholders to convert requirements into reusable data assets instead of one-off solutions
• Participate in architecture reviews and contribute to standards, templates, and best practices
• Guide teams on data modeling, medallion architecture, and data product design

Technology environment

• Snowflake (enterprise data platform)
• Databricks (analytics and AI/ML)
• Azure cloud services
• Medallion architecture (Raw, Cleansed, Refined, Curated layers)

Requirements

• Bachelor’s or master’s degree in Computer Science, Information Technology, or related field
• 5+ years of experience in data architecture, data modeling, or data engineering
• Strong experience building dimensional data models and defining facts and dimensions
• Experience with cloud data platforms, data warehouses, and lakehouse architecture
• Ability to map data from source systems and define transformations and quality rules
• Strong SQL skills
• Experience with tools such as Snowflake, Databricks, Azure Data Factory, or similar
• Experience with data modeling tools (ERWIN, ER/Studio, or similar)
• Strong communication and collaboration skills

Preferred qualifications

• Experience in retail, supply chain, finance, or customer data domains
• Experience with Snowflake architecture and performance optimization
• Experience with Databricks, Spark, or PySpark
• Experience with semantic layers, BI tools, or data product development
• Experience with CI/CD, Git, and Azure DevOps
• Experience in Agile or product-based delivery environments
• Relevant certifications (Snowflake, Azure, Databricks)

What success looks like

• Delivery of trusted, reusable, and scalable data models
• Consistent definitions of business data across the organization
• Reduced duplication of logic across reports and tools
• Increased business trust in data through clear governance and quality
• Faster onboarding of new data sources using repeatable patterns

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