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Data Architect Data Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Proven skills in data architecture, with a focus on designing scalable and efficient data systems. * Advanced proficiency in SQL for complex querying, optimization, and data transformation.

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Proven skills in data architecture, with a focus on designing scalable and efficient data systems. * Advanced proficiency in SQL for complex querying, optimization, and data transformation.

Data Engineer

Draper, UT

$107K - $128K/yr

Design and optimize Sunwest Bank's enterprise data architecture using Microsoft Azure technologies. * Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and ...

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Design and optimize Sunwest Bank's enterprise data architecture using Microsoft Azure technologies. * Build and maintain scalable data pipelines across Azure Blob Storage, Microsoft Fabric, and ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Document data architecture, runbooks, and processes to ensure organizational continuity Qualifications Required * 35 years of professional experience in data engineering, platform engineering, or a ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Document data architecture, runbooks, and processes to ensure organizational continuity Qualifications Required * 3-5 years of professional experience in data engineering, platform engineering, or a ...

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern. What is a day in the life of a Staff Data Infrastructure Engineer?

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern. What is a day in the life of a Staff Data Infrastructure Engineer?

If you are ready to architect the backbone of a data-driven empire and eliminate friction at a global scale, you belong at Pattern. What is a day in the life of a Staff Data Infrastructure Engineer?

In this role, you'll architect and harden core data infrastructure from ingestion through curated marts that executive leadership and Finance rely on for reporting, planning, and strategic decisions.

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Execute against defined architecture and technical direction * Contribute to solution design

Data Engineer

Woods Cross, UT

$108K - $129K/yr

Data Engineer (Mid-Level) Utah (Local Required) Overview AutoSavvy is a fast-growing automotive ... Execute against defined architecture and technical direction * Contribute to solution design

Solution Architecture: Propose and design controlled data solutions that meet critical compliance and financial reporting needs while strictly adhering to state data governance, organizational ...

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Data Architect Data information

How much does a data architect get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What does a data architect do?

A data architect designs and manages the overall structure of an organization’s data systems, including databases and data pipelines. They develop data models, establish data standards, and ensure data security and quality, often using tools like SQL, cloud platforms, and data modeling software. Strong analytical skills and knowledge of data governance are essential for this role.

What is the difference between Data Architect Data vs Data Engineer?

AspectData Architect DataData Engineer
CredentialsTypically requires a bachelor's degree in computer science, data management, or related fields; certifications like CDMP or AWS Certified Data AnalyticsSimilar credentials; often holds degrees in computer science or software engineering; certifications like Google Cloud Professional Data Engineer
Work EnvironmentDesigns data systems, works on architecture planning, collaborates with stakeholdersBuilds and maintains data pipelines, implements data solutions, works closely with Data Architects
Industry UsageUsed across industries for designing enterprise data systemsCommonly employed in data pipeline development and data processing tasks

Data Architects Data focus on designing the overall data infrastructure and architecture, while Data Engineers implement and maintain the data pipelines and systems based on that architecture. Both roles are essential and often collaborate closely in data management projects.

How much do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.
What job categories do people searching Data Architect Data jobs in Utah look for? The top searched job categories for Data Architect Data jobs in Utah are:
What cities in Utah are hiring for Data Architect Data jobs? Cities in Utah with the most Data Architect Data job openings:

$110K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Description:
Job Description:
About Packsize,
Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box-it's delivering what's right for our customers, their customers, our people, and the planet.
Job Title: Data Engineer
About the Role:
We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.
What You'll do:
  • Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
  • Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.
  • Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.
  • Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.
  • Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.
  • Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.
  • Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.
  • Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.
  • Stay current with industry trends and emerging tools to continuously improve data engineering practices.
  • Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.

What You'll Bring:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
  • 7+ years of experience in data engineering and analytics or data integration.
  • Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.
  • Proven skills in data architecture, with a focus on designing scalable and efficient data systems.
  • Advanced proficiency in SQL for complex querying, optimization, and data transformation.
  • Intermediate proficiency in Python for scripting, automation, and ETL development.
  • Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
  • Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.
  • Experience in semantic layer design to support business intelligence tools and self-service analytics.
  • Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to gather requirements and translate them into technical solutions that align with business goals.
  • Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.
  • Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.
  • Knowledge of data governance, data quality, and data integration best practices is a plus.
  • Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.

Working Environment and Physical Demands:
  • Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.
  • Occasional travel may be required for meetings and conferences.

What We Offer
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.
If this role excites you but you don't meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities
Packsize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we're committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.