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Senior Data Platform Engineer Jobs in Utah (NOW HIRING)

Senior Data Engineer

Lehi, UT ยท On-site

$99K - $135K/yr

Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Senior Data Engineer

Lehi, UT ยท On-site

$99K - $135K/yr

Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Sr. Platform Engineer - Data Infrastructure

Lehi, UT ยท 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 ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive ... As a Senior Data Engineer, you will be a high-impact "Game Changer" responsible for architecting ...

Sr Data Solution Engineer

Lehi, UT ยท On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development ...

Sr Data Solution Engineer

Lehi, UT

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development ...

Sr Data Solution Engineer

Lehi, UT ยท On-site

$51.75 - $67/hr

This senior individual contributor role requires deep data engineering expertise and strong product ... Experience with cloud data platforms, data warehouses, orchestration tools, Git-based development ...

Sr. Product Manager, Core Data Platform

Draper, UT ยท Hybrid

$118K - $156K/yr

... Senior Product Manager to drive the strategy and execution of BambooHR's core data platform: the ... Drive alignment on data definitions across product and engineering teams, resolving conflicts and ...

Senior Data Engineer

Salt Lake City, UT ยท On-site

$103K - $140K/yr

Hughes is seeking a Senior Data Engineer to support and evolve our enterprise analytics platform. This role is responsible for designing, building, and maintaining scalable data pipelines and ...

Showing results 21-40

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Utah?

The most popular types of Data Platform Engineer jobs in Utah are:

Senior Product Manager, Data Platform & Connectors

Atlassian

Magna, UT โ€ข On-site, Remote

$123K - $163K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
About DX
DX is the developer intelligence platform. We help engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI. DX combines self-reported insights from developers with data from the systems where software work happens, then turns those signals into insights teams can act on.
The role
We are looking for a Senior Product Manager to lead DX's data platform and connector portfolio.
The data platform is the foundation beneath every DX insight. It connects to the tools our customers use, ingests and organizes their data, protects its integrity, and makes it available to the rest of the DX product. You will own the product direction and outcomes for Data Cloud, our connector ecosystem, core data integrity, and the data infrastructure behind our demo environment.
This is a deeply technical product role. You do not need to be an engineer, but you must be able to reason credibly about connectors, APIs, data models, database design, data lakes, reliability, enterprise data requirements, and data privacy/security. You will turn that understanding into a data platform that customers and internal product teams can trust.
Responsibilities
What you'll do
  • Set the vision, strategy, roadmap, and measurable outcomes for DX's Data Cloud and connector ecosystem.
  • Prioritize connector investments using customer demand, market context, strategic leverage, and the needs of downstream DX products.
  • Improve the end-to-end connector experience, including setup, authentication, configuration, data mapping, sync health, and troubleshooting.
  • Define product requirements for data quality, freshness, completeness, reliability, and transparency.
  • Partner closely with Engineering on the evolution of DX's unified data layer while maintaining a clear boundary between product direction and technical design.
  • Own the product capabilities that keep DX's demo environment representative, reliable, and useful.
  • Build a deep understanding of enterprise data environments, security constraints, integration patterns, and the teams responsible for them.
  • Shape ambiguous opportunities with lightweight specs, prototypes, and clear written context before the team commits to a solution.
  • Know how the platform is performing across connector adoption, time to value, reliability, and customer satisfaction; investigate problems and drive the right improvements.
  • Partner with customer-facing and go-to-market teams on connector discovery, pilots, launches, documentation, and positioning.

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $168,300 - $219,725
Zone B: $151,470 - $197,753
Zone C: $139,689 - $182,372
Qualifications
What we're looking for
  • 5+ years of product management experience, with a track record of independently owning a technical product area.
  • Meaningful experience with data connectors, integrations, ETL/ELT systems, data platforms, or adjacent infrastructure products.
  • Strong working knowledge of APIs, data models, database design, and data lakes or warehouses.
  • Ability to engage deeply with engineers on architecture and tradeoffs while remaining focused on customer problems and product outcomes.
  • Understanding of the reliability, security, scalability, and trust requirements of enterprise data products.
  • Strong customer discovery, synthesis, prioritization, and written communication skills.
  • Comfort operating in ambiguity, moving quickly, and making pragmatic tradeoffs without sacrificing quality or enterprise trust.

Nice to have
  • Experience building self-service connector or integration platforms.
  • Product experience in developer tools, data infrastructure, observability, or enterprise SaaS.
  • Experience serving data engineering, platform engineering, or developer productivity teams.
  • Experience in a fast-growing startup.
  • Firsthand experience using DX as a customer.

How Product works at DX
PMs at DX act as the compass and context engine for their product area. You will own product direction, prioritized problems, and outcomes; your Tech Lead partner will own sequencing, technical scope, and quality. We expect PMs to stay close to customers, synthesize context for the team, sprint ahead on ambiguous work with lightweight specs and mockups, and increase the team's speed of learning. We default to pragmatic, async written work rather than unnecessary process.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.