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Principal Data Platform Engineer Jobs in Utah (NOW HIRING)

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

The Data Platform Team's mission is to enable product innovation by making it painless for developers to build applications that require access to large sets of data. Many of the core Weave products ...

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Cloud Platform Engineer

Draper, UT · On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Distinguished Architect, Data Technology

Draper, UT · Hybrid

$59.50 - $76.75/hr

The role includes defining the multi-year data platform architecture, establishing standards and guardrails, and mentoring and influencing architects and principal engineers to deliver a resilient ...

DevOps & Platform Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

... Platform Engineer Category: Project Management Main location: United States, Utah, Salt Lake City ... Develop and optimize graph data models, Cypher queries, indexes, and graph traversal strategies to ...

Cloud Platform Engineer

Draper, UT · On-site

$120 - $170/hr

The Cloud Platform Engineer designs, builds, and enhances Sunwest Bank's cloud platforms, with ... Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ...

Sr. Product Manager, Core Data Platform

Draper, UT · Hybrid

$118K - $156K/yr

Partner closely with principal architects and engineering leads to make principled data modeling tradeoffs and communicate the implications broadly. * Ensure the data platform is easy to build ...

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Own platform health, data quality, and reliability. Establish standards and protocols. Digital ...

They are seeking a Staff Platform Engineer to lead technical efforts in building and scaling ... time data processing Company : Keurig built a marketplace for coffee brands, Pura is doing that ...

Showing results 21-40

Principal Data Platform Engineer information

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

AspectPrincipal Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often with certifications in cloud platformsBachelor's in CS, Data Science, or related; certifications are common but not mandatory
Work EnvironmentDesigns and oversees data platform architecture, leads technical strategyBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed in large tech, finance, and enterprise companies focusing on scalable data solutionsCommon across industries for data processing and analytics tasks

The Principal Data Platform Engineer focuses on designing and leading the development of data platforms, ensuring scalability and performance. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles require strong technical skills, but the Principal role involves strategic oversight and architecture leadership.

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Cities in Utah with the most Principal Data Platform Engineer job openings:

Data Architect (Data Platform)

RXinsider LTD.

Salt Lake City, UT • On-site

$120 - $180/hr

Other

Posted 15 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.

RevSpring does not discriminate against any group in hiring or employment practices.

Nothing in this job description constitutes a contract for employment.

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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