Data Architect - Modern Enterprise Data Platform

Job Description

Job Description

Data Architect - Modern Enterprise Data Platform

Our client is building a modern, product-oriented data platform that will shape how a global enterprise organizes, governs, and publishes trusted data. This is a high-impact opportunity for a Data Architect who wants to do more than design models in isolation - you'll help define the standards and patterns used to turn source data into governed, reusable data products across a large, complex organization. Working across a modern cloud platform built around Snowflake, Databricks, Azure, and medallion architecture, you'll partner with engineering, governance, analytics, and business teams to solve real-world data problems at enterprise scale.

As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact .

Job Type: Contract

Location: Remote

Compensation: This job is expected to pay about $70 - 74/hr (W2)

No Visa Sponsorship Available for this role

What You'll Do:

• Design practical, scalable data models across enterprise data domains, with emphasis on dimensional models, conformed dimensions, certified facts, and semantic-ready structures
• Lead Refined layer model design so core business concepts are modeled consistently and reused across domains, dashboards, and analytics
• Translate source system behavior into clear source-to-target mappings across Raw, Cleansed, Refined, and Curated layers, including ingestion patterns, business rules, and quality expectations
• Partner with Data Governance to align models with schema standards, naming standards, stewardship, lineage, and access requirements
• Work with Data Engineering and Platform Engineering to turn approved designs into reliable, scalable implementations in Snowflake, Databricks, and Azure

What Gets You the Job:

• Strong hands-on experience designing dimensional models, including facts, dimensions, conformed dimensions, grain definition, slowly changing dimensions, and surrogate keys
• Practical experience with medallion architecture, lakehouse architecture, enterprise data warehouses, and modern cloud data platforms
• Ability to analyze source systems, define source-to-target mappings, profile data, and document business rules
• Experience with data modeling and metadata tools such as ERWIN, ER/Studio, or comparable platforms
• Strong SQL skills, with dbt/Snowflake transformation experience a plus

Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey-so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career!

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.