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Data Platform Manager Jobs in Utah (NOW HIRING)

RevSpring

Data Architect (Data Platform)

Salt Lake City, UT · On-site

$61.75 - $79.25/hr

... and manage data systems. This role involves structuring complex healthcare data and ensuring ... pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data ...

RevSpring

Data Architect (Data Platform)

Salt Lake City, UT · On-site

$61.75 - $79.25/hr

... and manage data systems. The role involves structuring complex healthcare data and ensuring ... pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

BambooHR

Sr. Product Manager, Core Data Platform

Draper, UT · Hybrid

$118K - $156K/yr

Essential Job Duties We're looking for a Senior Product Manager to drive the strategy and execution of BambooHR's core data platform: the foundational layer that defines how every system, integration ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

Manage the performance and cost efficiency of the platform, including transitions toward open ... Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency ...

Weave

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

Engineering Manager What You Will Own * Design and Develop core data platform components for enabling business process orchestration and workflows. * Build scalable, resilient services to support ...

Patientco

VP, Data Sciences

Lehi, UT

... managing large teams. Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment. Demonstrated success in building and scaling data platforms ...

Crew Career Center

VP, Data Sciences

Lehi, UT

... managing large teams. Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment. Demonstrated success in building and scaling data platforms ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

The Data Management & Analytics area is responsible for multiple aspects of data management and ... Data Platform & Architecture:** Overseeing the design, development, and maintenance of scalable and ...

HydroJug

Director of Data Analytics

Ogden, UT · On-site

You will build and govern a brand-aware data platform -- one BigQuery environment, segregated by ... Analytics Service Delivery -- Ensure every team has timely, trusted data; manage analyst capacity ...

University of Utah

UU Student - Other

Salt Lake City, UT · On-site

$12 - $13/hr

The Platform Manager reports to the Student Media Adviser and works closely with the Editor-in ... interpret data from Google Analytics and other digital platforms (email, social media, etc ...

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All JobsData Platform JobsData Platform Manager JobsData Platform Manager Jobs in Utah

Data Platform Manager information

See Utah salary details

$28.2K

$88.4K

$156.6K

How much do data platform manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data platform manager in Utah is $88,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $114,300.00 per year, depending on experience, location, and employer.

Are data platform managers in demand?

Data platform managers are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong technical skills in data architecture, cloud platforms, and analytics tools, and often see competitive job growth and salary prospects.

What is the difference between Data Platform Manager vs Data Engineer?

AspectData Platform ManagerData Engineer
Primary FocusOversees data platform strategy, architecture, and team managementBuilds, develops, and maintains data pipelines and infrastructure
Required SkillsData architecture, leadership, project managementProgramming, ETL development, database management
CertificationsCloud certifications (AWS, Azure), data management certificationsSQL, cloud platform certifications, programming certifications
Work EnvironmentCollaborates with data teams, IT, and business unitsHands-on technical work in data engineering teams

The Data Platform Manager focuses on overseeing the data platform's overall strategy and managing teams, while the Data Engineer is responsible for the technical development and maintenance of data pipelines. Both roles require technical skills and certifications, but the manager role emphasizes leadership and strategic planning, whereas the engineer role emphasizes technical execution.

How much do data platform managers make?

Data platform managers typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and company size. They often require skills in cloud platforms, data architecture, and leadership, with higher salaries for those with advanced certifications or extensive experience.

What are some common challenges faced by data platform managers when aligning data strategy with evolving business needs?

Data Platform Managers often face the challenge of ensuring that the data infrastructure can adapt quickly to shifting business priorities and emerging technologies. Balancing the needs of various stakeholders—such as data analysts, engineers, and business leaders—while maintaining data quality, security, and scalability requires strong communication and project management skills. Additionally, keeping the platform up-to-date with new tools and compliance requirements, while managing resource constraints, is a recurring aspect of the role. Successfully navigating these challenges helps the business leverage data as a strategic asset.

What are the key skills and qualifications needed to thrive as a data platform manager?

To thrive as a Data Platform Manager, you need expertise in data architecture, database management, and analytics, typically supported by a degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms (such as AWS, Azure, or Google Cloud), and certifications like AWS Certified Data Analytics are commonly required. Strong leadership, problem-solving skills, and effective communication enable you to manage teams and coordinate with stakeholders. These skills ensure robust, scalable data infrastructures that support business intelligence and strategic decision-making.

What is a data platform manager?

A Data Platform Manager is a professional responsible for overseeing the development, maintenance, and operation of an organization's data infrastructure. They manage data storage, processing, and integration solutions to ensure data is accessible, secure, and reliable for business needs. Their role often involves collaborating with data engineers, analysts, and IT teams to implement best practices and support data-driven decision-making. Additionally, they may oversee cloud data platforms, manage data governance, and ensure compliance with data privacy regulations.
What are the most commonly searched types of Data Platform jobs in Utah? The most popular types of Data Platform jobs in Utah are:
What are popular job titles related to Data Platform Manager jobs in Utah? For Data Platform Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Platform Manager jobs in Utah look for? The top searched job categories for Data Platform Manager jobs in Utah are:
What cities in Utah are hiring for Data Platform Manager jobs? Cities in Utah with the most Data Platform Manager job openings:
Data Platform Manager jobs near you
Infographic showing various Data Platform Manager job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $88,438 per year, or $42.5 per hour.

Data Architect (Data Platform)

RevSpring, Inc.

Salt Lake City, UT • On-site

$61.75 - $79.25/hr

Full-time

Re-posted 3 days ago

Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling & Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database & Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today's problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?

Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support

Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.

Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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