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Data Warehouse Architect

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XIT Solutions Inc.

Waukegan, IL (In Person)

$120,876 Salary, Full-Time

Posted 03/11/2026 (Updated 2 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Company Overview XIT Solutions Inc. is a dynamic leader in Tax Technology, connecting experts globally to engage, evolve, and automate innovative solutions. We are passionate about empowering our team members to grow their careers while making a meaningful impact in the digital transformation landscape. Overview We are seeking a highly skilled Data Warehouse Architect to lead the design, development, and optimization of enterprise data warehouse solutions. This role offers an exciting opportunity to shape our data infrastructure, leveraging cutting-edge technologies to enable robust analytics and data-driven decision-making across the organization. If you thrive on building scalable, efficient data architectures and enjoy working in a fast-paced, collaborative environment, this position is for you! D ata Warehouse Architect 1300 Terrace Ave, Waukegan, IL 60085 Long Term Contract Looking for Data Warehouse Architect with someone who will be able to design in
Data Fabric Silver & Gold Layers Key Requirements & Responsibilities Fabric Lakehouse Setup:
Create separate Lakehouses for Bronze/Silver and a Synapse Data Warehouse or dedicated Lakehouse for Gold. Data Ingestion (Bronze): Raw ingestion via Fabric Pipelines or Eventstreams, retaining source format. Silver Layer Requirements (Cleansed/Conformed):
Data Cleansing:
Remove duplicates, handle NULLs, and fix data types.
Transformation:
Apply business logic to convert raw data into structured, conformed dimensions.
CDC Implementation:
Implement Change Data Capture (CDC) to manage updates and deletes from source systems.
Optimization:
Ensure data is stored in Delta format for ACID transactions and V-Order optimization. Gold Layer Requirements (Curated/Business Ready):
Modeling:
Structure data into star schemas (facts and dimensions) for Power BI optimization.
Aggregation:
Create aggregated tables for performance-intensive reporting.
Security & Governance:
Apply Row-Level Security (RLS) and Column-Level Security (CLS) for data access control.
Business Logic:
Embed complex DAX calculations and business metrics.
Orchestration:
Use Fabric Data Pipelines to schedule data movement across layers. Microsoft Learn +8
Technology Stack Platform:
Microsoft Fabric (OneLake).
Format:
Delta Lake.
Compute:
Spark Notebooks (Data Engineering), SQL Analytics Endpoint.
Modeling:
Power BI Semantic Models.
Pay:
$109,672.82 - $132,079.09 per year
Benefits:
Health insurance
Work Location:
In person

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