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Data Modernization Jobs in Utah (NOW HIRING)

Zions Bank

Data Analytics Manager

Midvale, UT · On-site

This Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet management ...

New

Enterprise Services

Data Analytics Manager

Midvale, UT · Hybrid

This Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet management ...

New

Zions Bancorporation

Data Analytics Manager

Midvale, UT · On-site

This Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet management ...

New

BambooHR

Distinguished Architect, Data Technology

Draper, UT · Hybrid

$59.50 - $76.75/hr

Architect and influence data technology modernization: evolve BambooHR's core data architecture--modernizing legacy systems, enabling scalable cloud-native patterns, and ensuring the platform is ...

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Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
What are popular job titles related to Data Modernization jobs in Utah? For Data Modernization jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Utah look for? The top searched job categories for Data Modernization jobs in Utah are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Utah as of August 2026, with employment types broken down into 86% Full Time, and 14% Temporary. Highlights an 57% In-person, 29% Hybrid, and 14% Remote job distribution.

Solutions Engineer - Microsoft Data

CompuNet, Inc.

Cottonwood Heights, UT • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

CompuNet Clinical Laboratories rating

6.8

Company rating: 6.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

93rd of 120 rated laboratories

Job description

Why join CompuNet?
CompuNet values its people more than any other asset-and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
As a Microsoft Data Engineer at CompuNet, you will design, build, optimize, and modernize enterprise data platforms using Microsoft Azure Data Services, Microsoft Fabric, Power BI, SQL Server, and related technologies.
Role Expectations
Technical Expertise: Serve as a subject matter expert in Microsoft Data and Analytics technologies including Microsoft Fabric, Azure Data Factory, Synapse, Databricks, SQL and Power BI.
Consulting & Engagement: Deliver customer-focused consulting engagements and guide data modernization initiatives.
Solution Architecture: Architect secure, scalable, governed data platforms.
Communication & Leadership: Partner with business and technical stakeholders.
Core Duties and Responsibilities
  • Design and support modern Microsoft data platforms in Azure and Microsoft Fabric.
  • Build enterprise data warehouses, data lakes, and lakehouse solutions.
  • Develop ETL/ELT pipelines using Azure Data Factory, Fabric Data Factory, Synapse Pipelines, and Databricks.
  • Create scalable data models and analytics solutions.
  • Implement governance, lineage, security, and compliance controls.
  • Optimize performance, scalability, reliability, and cost.
  • Support Power BI, analytics, and AI initiatives.
  • Implement DevOps, Git, and CI/CD practices.

Key Expectations
Serve as a Microsoft Data subject matter expert, lead customer engagements, develop Statements of Work, and maintain relevant certifications.
Minimum Requirements
  • 5+ years designing enterprise data solutions.
  • 3+ years working with Azure Data Services.
  • Expertise in Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, SQL Server, and Power BI.
  • Advanced SQL and data modeling experience.
  • Experience with data warehouses, data lakes, lakehouses, ETL/ELT, governance, Python, Spark, and DataOps.
  • Experience implementing and optimizing a Medallion Architecture.
  • Strong consulting and stakeholder management skills.

Preferred Requirements
  • Bachelor's degree in related field.
  • Preferred Certifications: DP-203, DP-600, PL-300, DP-300, AI-102, AZ-305.
  • Hands-on experience with Snowflake and Databricks at scale.
  • Experience working with data architectures specifically for LLM use-cases.

Compensation and Benefits
We offer a full and comprehensive compensation package, including:
  • Medical, dental, vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, disability coverage, critical illness, and accident insurance
  • Paid Time Off (PTO) and paid holidays
  • Company-matching 401(k) and profit sharing
  • Competitive salary, with eligibility for variable compensation such as commission, bonuses, and profit sharing included

Who we are
CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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