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Data Platform Product Manager Jobs in Midvale, UT

Pattern

Staff Data Platform Engineer

Lehi, UT · On-site

... management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of ... Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with ...

BILL

Lead Product Manager - Rewards Platform

Draper, UT · On-site +1

You will partner with Engineering, Data, Finance, Risk, Compliance, Marketing, and external card ... product management, with meaningful time spent building rewards, loyalty, or incentives platforms ...

BILL

Lead Product Manager - Risk Platform

Draper, UT · On-site

As Lead Product Manager on the team you will leverage your expertise to shape the future of risk ... Define the technical architecture for internal APIs, platform services, and data pipelines that ...

BILL

Lead Product Manager - Rewards Platform

Draper, UT · On-site

You will partner with Engineering, Data, Finance, Risk, Compliance, Marketing, and external card ... product management, with meaningful time spent building rewards, loyalty, or incentives platforms ...

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data ... and Product Managers as well as other departments including Engineering, Security, and Sales.

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data ... and Product Managers as well as other departments including Engineering, Security, and Sales.

Pattern

VP of Data Platform & Architecture

Lehi, UT · On-site

What is a day in the life of a Vice President of Data Platform & Architecture? * Lead the data ... and Product Managers as well as other departments including Engineering, Security, and Sales.

BILL

Lead Product Manager - Risk Platform

Draper, UT · On-site

$172K - $206K/yr

As Lead Product Manager on the team you will leverage your expertise to shape the future of risk ... Analyze market, regulatory, and internal data to identify patterns, opportunities, and ...

Ancestry

Associate Technical Product Manager

Draper, UT · On-site +1

$156K - $180K/yr

Ancestry's Data, AI & Analytics Platforms team is the bridge between raw data and trusted business ... This is a high-impact entry point into technical product management on a team that operates as ...

Ancestry

Associate Technical Product Manager

Draper, UT · On-site +1

$156K - $180K/yr

Ancestry's Data, AI & Analytics Platforms team is the bridge between raw data and trusted business ... This is a high-impact entry point into technical product management on a team that operates as ...

Berkadia

Product Manager - AI

Midvale, UT · Hybrid

The Product Manager will help establish the reusable platform components, tools, workflows, guardrails, data-access patterns, and user experiences that empower business teams to self-serve within a ...

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All JobsData Platform Product JobsData Platform Product Manager JobsData Platform Product Manager Jobs in Midvale, UT

Data Platform Product Manager information

See Midvale, UT salary details

$48.6K

$150.3K

$185.8K

How much do data platform product manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data platform product manager in Midvale, UT is $150,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $185,800.00 per year, depending on experience, location, and employer.

What is a data platform product manager?

A Data Platform Product Manager is responsible for overseeing the development, management, and strategy of an organization’s data platform. They work closely with engineering, data science, and business teams to ensure the platform meets stakeholder needs, supports data-driven decision-making, and aligns with the company's objectives. Their duties typically include defining product requirements, prioritizing features, facilitating communication across teams, and monitoring platform performance and adoption.

How does a data platform product manager typically collaborate with engineering and data teams to deliver platform features?

A Data Platform Product Manager regularly works alongside engineering and data teams by defining product requirements, prioritizing the feature backlog, and ensuring alignment with business goals. They facilitate communication among stakeholders, translate complex technical needs into actionable tasks, and help resolve roadblocks that may arise during development. This collaborative approach ensures the platform evolves to meet both user expectations and technical constraints, fostering a shared sense of ownership and delivering robust, scalable solutions.

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

To thrive as a Data Platform Product Manager, you need a strong understanding of data architecture, product management principles, and analytics, often supported by a degree in computer science, engineering, or a related field. Familiarity with data warehousing technologies, cloud platforms (such as AWS, Azure, or GCP), and tools like SQL, Tableau, or Snowflake is typically required, and certifications in Agile or Scrum can be beneficial. Outstanding communication, stakeholder management, and strategic thinking are crucial soft skills that help bridge technical and business teams. These skills ensure successful product delivery, alignment with business goals, and the creation of scalable, effective data solutions.

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

AspectData Platform Product ManagerData Engineer
Primary FocusProduct strategy, roadmap, and stakeholder alignment for data platformsBuilding, maintaining, and optimizing data pipelines and infrastructure
Required SkillsProduct management, data domain knowledge, communication skillsProgramming, database management, ETL processes
Work EnvironmentCross-functional teams, product lifecycle managementData engineering teams, technical infrastructure
Common CertificationsCertified Scrum Product Owner, data management certificationsApache Spark, cloud platform certifications, SQL expertise

The Data Platform Product Manager focuses on defining the vision and strategy for data platforms, coordinating between stakeholders and engineering teams. In contrast, Data Engineers are responsible for implementing and maintaining the technical infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Platform Product Manager jobs in Midvale, UT?

For Data Platform Product Manager jobs in Midvale, UT, the most frequently searched job titles are:

What cities near Midvale, UT are hiring for Data Platform Product Manager jobs?

Cities near Midvale, UT with the most Data Platform Product Manager job openings:

Data Platform Product Manager jobs near you

Staff Data Platform Engineer

Pattern

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.
Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces-including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].
Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek's Global Most Loved Workplaces®.
We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and implementation of our next-generation data platform. In this high-impact role, you will be the catalyst that enables our partners and global teams to extract actionable insights with unprecedented speed and sustainability. 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?
  • Build and maintain scalable, high-performance data infrastructure designed to support both batch and real-time use cases for a wide variety of global stakeholders
  • Design and implement architectural solutions that drastically reduce friction in data access across the organization.
  • Collaborate cross-functionally with Engineering, Data, and Product teams to align the platform with diverse technical requirements.
  • Understand and integrate best security practices to ensure access compliance across all data assets
  • Troubleshoot and resolve complex issues in distributed data systems to ensure total data integrity.
  • Architect and implement AI-driven diagnostic systems to autonomously identify, analyze, and resolve complex issues impacting data availability and platform health.

What will I need to thrive in this role?
  • 8+ years of experience in data infrastructure or backend software engineering with a "Data Fanatic" mindset.
  • Cloud Mastery: Strong expertise in cloud environments, container orchestration, and event streaming technologies for managing large-scale infrastructure.
  • Data Processing: Strong experience with distributed data processing and OLAP technologies such as Spark, Trino, and ClickHouse; Snowflake or Databricks experience is a plus.
  • Technical Excellence: Ability to write clean, maintainable code in Python, GoLang, Java, Ruby, or C++.
  • Proactive Leadership: A "can-do" attitude with a proven track record of solving complex problems and taking initiative.
  • Collaborative Spirit: Strong ability to work across teams to deliver high-quality, high-impact results.
  • System Observability: Expertise in building highly observable platforms using tools like Prometheus, Grafana, or Datadog to ensure deep visibility and proactive reliability of global systems.

What does high performance look like?
  • Execution & Innovation: You proactively find and implement solutions that ensure platform scalability while remaining cost-effective, consistently optimizing infrastructure performance.
  • System Scalability: You successfully deliver major infrastructure upgrades that empower the company to harness 46+ trillion data points effectively.
  • A Team of Doers: You mentor team members daily, driving a culture of technical excellence and growth.
  • Setting the Bar: You establish and enforce industry-leading best practices, ensuring the team adopts cutting-edge processes.

What is my potential for career growth?
  • Direct mentorship opportunities with senior leadership in Data and Architecture.
  • Professional exposure through collaboration with diverse departments across the global Pattern ecosystem.
  • A clear, merit-based path for advancement within a rapidly growing tech company.
  • Opportunities to lead high-visibility projects that define the future of Pattern's technical roadmap.
  • Internal promotion priority for high-performing "Pattern People."

What does success look like in the first 30, 60, 90 days?
  • First 30 Days: Build context quickly, assess the current platform, and identify the most important opportunities for improvement.
  • First 60 Days: Contribute immediately to high-priority initiatives and lead design efforts to improve platform reliability, scalability, and operations.
  • First 90 Days: Deliver significant technical impact, shape the platform roadmap, and provide technical leadership across the organization.

What is the team like?
This role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers and Software Engineers as well as other departments including Engineering, Product, and Marketing. This position is mentored by the VP of Data and Architecture.
Sounds great! What's the company culture?
We are looking for individuals who are:
  • Game Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern's processes and outcomes.
  • Data Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.
  • Partner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner's expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.
  • Team of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.

What is the hiring process?
  1. Initial interview with Pattern's talent acquisition team
  2. Technical video interview with a senior member of the data platform team
  3. Onsite interview with peers and senior leadership
  4. Professional reference checks
  5. Executive review
  6. Offer

How can I stand out as an applicant?
  • Strong Nice-to-Haves: Expertise in Databricks/Snowflake, experience with GoLang or Scala, and a history of contributing to open-source data projects.
  • Quantify Success: During the interview, discuss professional accomplishments using specific data and metrics to show your impact.
  • Show Your Passion: Highlight any side projects related to data analytics or large-scale infrastructure.
  • The "Partner" Lens: Be prepared to explain how your technical decisions directly improve the experience and success of the partners who rely on your data platform.

Why should I work at Pattern?
Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:
- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.
Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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