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Yellowbrick Data Jobs (NOW HIRING)

Omni Inclusive

Data AI Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

You will drive the transition from Yellowbrick to Microsoft Fabric Data Warehouse, rebuild pipelines in Azure Data Factory Fabric, and integrate Qlik QVDs. The role also covers optimizing the Power ...

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$46K

$165K

$243.5K

How much do yellowbrick data jobs pay per year?

As of Jul 5, 2026, the average yearly pay for yellowbrick data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for someone working with Yellowbrick Data platforms?

Daily tasks often involve designing, optimizing, and maintaining data warehouse environments using Yellowbrick Data's analytics platform. Professionals in this role collaborate with data engineers, analysts, and business stakeholders to ensure data accuracy, performance, and accessibility. They may also monitor system health, troubleshoot performance issues, develop ETL pipelines, and support ongoing data integration projects. This collaborative environment provides the opportunity to work on cutting-edge solutions that improve decision-making and organizational efficiency.

What is a Yellowbrick Data job?

A Yellowbrick Data job typically refers to a role at Yellowbrick Data, a company specializing in modern data warehousing solutions. Employees in these roles work on developing, managing, and optimizing high-performance data platforms for enterprises. Common positions include software engineers, data architects, and sales professionals who help customers implement and utilize Yellowbrick’s hybrid cloud data solutions. Responsibilities may involve database optimization, cloud integration, and supporting real-time analytics.

What are the key skills and qualifications needed to thrive in the Yellowbrick Data position, and why are they important?

To thrive in a role focused on Yellowbrick Data, you need expertise in data warehousing, SQL, and cloud-based analytics, often supported by a background in computer science or information technology. Experience with Yellowbrick Data's platform, other relational database management systems, and relevant certifications such as AWS or Google Cloud can be highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for collaborative and analytical tasks. These competencies are crucial for efficiently managing and optimizing data solutions that meet organizational needs and drive business intelligence.

More about Yellowbrick Data jobs
What are the most commonly searched types of Yellowbrick Data jobs? The most popular types of Yellowbrick Data jobs are:
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Yellowbrick Data jobs near you
Infographic showing various Yellowbrick Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 22% Hybrid, and 78% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data AI Architect

Omni Inclusive

Minneapolis, MN • On-site

$66.50 - $85.50/hr

Other

Posted 17 days ago

Job description

Azure Fabric DataAI Architect

Seeking an experienced Azure Fabric DataAI Architect to lead the migration and modernization of our enterprise data platform. You will drive the transition from Yellowbrick to Microsoft Fabric Data Warehouse, rebuild pipelines in Azure Data Factory Fabric, and integrate Qlik QVDs. The role also covers optimizing the Power BI semantic layer, ensuring data governance, quality, and compliance with Microsoft Purview, and enabling AI Search, Intelligent Document Processing, and Gen AIAI Foundry capabilities. In addition to technical delivery, the role demands a strong emphasis on technical leadership for platform data architecture. You will help define and enforce modeling and architecture principles, informally lead the Platform Services team, and drive best practices for solution delivery, quality, and engineering excellence across the data ecosystem.

Key Responsibilities:

  • Drive the end-to-end migration of Yellowbrick workloads into Microsoft Fabric Data WarehouseLakehouse.
  • Design and build new pipelines in Azure Data Factory Fabric to replace CloverDX.
  • Migrate and transform data from Qlik QVD sources into Fabric pipelines.
  • Implement and optimize business rules in the Power BI semantic layer.
  • Govern and monitor data quality, including deduplication, cleansing, and standardization.
  • Ensure compliance and handling of sensitive data (PII, PHI) in line with regulatory requirements.
  • Apply governance standards using Microsoft Purview for metadata, lineage, classification, and security.
  • Manage and optimize ADLS Gen2 as a storage backbone for Fabric.
  • Support AI Search and AI Intelligent Document Processing use cases on top of Fabric data.
  • Enable Gen AI and AI Foundry integrations by providing governed, high-quality datasets.
  • Implement Azure FinOps practices for cost optimization and performance efficiency.
  • Leverage Python for automation, advanced transformations, and lightweight ML tasks.
  • Collaborate with healthcare stakeholders; Epic Cogito experience highly desirable.
  • Mentor team members, manage the Platform Services roadmap, and champion engineering best practices.

    • Qualifications:

    • 15+ years of experience in data engineering, BI/analytics, and cloud migrations.
    • Expertise in Microsoft Fabric (Data Warehouse, Lakehouse, Data Factory, Power BI).
    • Strong knowledge of data governance and cataloging using Purview.
    • Hands-on experience with data quality, deduplication, and handling sensitive data (PII/PHI).
    • Proven ability to migrate and modernize pipelines from CloverDX or legacy ETL tools.
    • Experience with Qlik/QVD-based workflows and migration strategies.
    • Working knowledge of Azure AI services: AI Search, Cognitive Services, Intelligent Document Processing.
    • Familiarity with Gen AI project patterns and AI Foundry usage.
    • Proficiency with ADLS Gen2 for secure data storage and processing.
    • Skilled in Python for automation and transformations.
    • Leadership in platform engineering, architecture best practices, and team enablement.
    • Experience in healthcare analytics, specifically with Epic Cogito, is a strong plus.

    Preferred Skills:

    • Background in healthcare/life sciences data platforms.
    • Knowledge of compliance mandates (HIPAA, GDPR, FDA etc.).
    • Strong communication skills to bridge technical and business teams.

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