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Data Modernization Jobs in Utah (NOW HIRING)

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Lead the design and execution of a modern data platform strategy , aligned with OTG's business goals and growth trajectory Drive the revitalization and modernization of data pipelines, data models ...

otg

Senior Manager Data Engineering

Riverton, UT · On-site +1

$125K - $150K/yr

Lead the design and execution of a modern data platform strategy , aligned with OTG's business goals and growth trajectory Drive the revitalization and modernization of data pipelines, data models ...

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 ...

US Bank

Technical Senior Product Manager

Salt Lake City, UT · Hybrid

$122K - $161K/yr

You will be responsible for driving platform modernization while establishing a unified, scalable data strategy-ensuring consistency, interoperability, and high-quality data across all systems ...

U.S. Bank

Technical Senior Product Manager

Salt Lake City, UT · On-site

$122K - $161K/yr

You will be responsible for driving platform modernization while establishing a unified, scalable data strategy-ensuring consistency, interoperability, and high-quality data across all systems ...

PacifiCorp

Engineer I, II

Salt Lake City, UT

... modernization strategy through the deployment and support of intelligent field devices, protection systems, secure communications networks, software-defined infrastructure, and data-driven ...

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All JobsData Modernization JobsData Modernization Jobs in Utah

Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

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 jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

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, and why are they important?

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.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Manager Data Engineering

Senior Manager Data Engineering

otg

Riverton, UT • On-site, Remote

$125K - $150K/yr

Other

Posted 19 days ago

Job description

Job Title: Senior Manager, Data Engineering
Location: Home Office
Compensation: $125,000 – $150,000
Reports to: Director / VP, Technology & Data

Who We Are

On the Go (OTG) has elevated the dining and retail experience for travelers by bringing together world-class hospitality, award-winning dining concepts, and forward-thinking technology. With more than 300 unique dining and retail locations across North America’s busiest airports, we’re fueled by a passion for creating exceptional guest experiences—made possible every day by our incredible Crewmembers. At OTG, people truly come first. We invest in our teams and foster growth in an exciting, fast-paced environment where everyone can shine.

How We Do Business

How we work is just as meaningful as what we accomplish. Our values—Care, Continuous Improvement, Quality, and Teamwork—guide the way we show up for our guests and for each other. We are committed to fostering an inclusive, safe, and dynamic workplace where individuals feel empowered to contribute and grow.

Why This Job Is a Big Deal!

The Senior Manager, Data Engineering will play a critical role in revitalizing OTG’s data analytics platform and strategy, transforming how data is leveraged across operations, finance, and guest experience.

This role will serve as a hands-on leader responsible for building and modernizing OTG’s data platform, driving scalable data solutions, and enabling real-time insights that power business decisions across the organization. This individual will help define the future state of OTG’s data ecosystem, ensuring it supports growth, operational efficiency, and innovation.

In this Role you will…

Lead the design and execution of a modern data platform strategy, aligned with OTG’s business goals and growth trajectory

Drive the revitalization and modernization of data pipelines, data models, and data infrastructure

Build and optimize scalable ETL/ELT pipelines to support high-volume transactional data from POS, operations, and customer systems

Establish a roadmap for data architecture, data governance, and analytics enablement

Ensure data systems support real-time insights, operational reporting, and advanced analytics use cases

Partner with Engineering, Product, Finance, and Operations teams to translate business needs into data-driven solutions

Define and enforce data engineering standards, best practices, and governance frameworks across the organization

Lead the migration and modernization of legacy data systems into cloud-based platforms

Oversee data quality, data integrity, and system reliability across the enterprise

Manage and mentor a team of data engineers, driving performance, accountability, and growth

Provide hands-on technical leadership, including coding, troubleshooting, and architectural design as needed

Collaborate with external vendors and partners to support delivery and scalability initiatives

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)

6–10+ years of experience in data engineering, data architecture, or related technical roles

2–4+ years of leadership experience, managing engineering teams or technical initiatives

Proven experience building and scaling modern data platforms in cloud environments (AWS, Azure, or GCP)

Strong background working in high-volume, data-intensive environments (hospitality, retail, QSR, or similar preferred)

Key Competencies

Data Platform Modernization & Transformation

Data Engineering & ETL/ELT Pipeline Development

Cloud Data Architecture (Snowflake, Databricks, Redshift, Synapse, etc.)

Real-Time Data & Streaming (Kafka or similar)

Data Governance & Data Quality Management

Cross-Functional Stakeholder Collaboration

Hands-On Technical Leadership

Team Leadership & Talent Development

Problem Solving & Continuous Improvement

Communication & Organizational Agility

Equal Opportunity Employer

We’re proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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