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Data Platform Product Manager Jobs in Rochester, NY

Strong analytical skills with the ability to interpret data and customer insights. * Good project ... management skills. * Technical curiosity and the ability to translate product features into ...

Strong analytical skills with the ability to interpret data and customer insights. * Good project ... management skills. * Technical curiosity and the ability to translate product features into ...

Product Manager

West Henrietta, NY · On-site

$65K - $80K/yr

Strong analytical skills with the ability to interpret data and customer insights. * Good project ... management skills. * Technical curiosity and the ability to translate product features into ...

Product Manager

Rochester, NY · On-site

$98K - $206K/yr

Job Title: Product Manager Job Category: Project and Program Management Time Type: Full time ... Familiar with data analytics market trends and applications * Must be willing and able to get a TS ...

... data and customer insights. • Good project coordination and stakeholder management skills. • Technical curiosity and the ability to translate product features into customer benefits. • Clear ...

Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights ... As an experienced GCP Manager you will have the ability to share new ideas and collaborate on ...

About Product Management Roles at Danaher Are you excited by the challenge of shaping innovative ... Strong analytical and problem-solving skills with the ability to interpret complex data

About Product Management Roles at Danaher Are you excited by the challenge of shaping innovative ... Strong analytical and problem-solving skills with the ability to interpret complex data

Lead, Product Manager

Rochester, NY · On-site

$106K - $197K/yr

Job Title: Lead, Product Management Job Code: 36806 Job Location: Rochester, NY (Onsite) Job ... Familiarity with data analytics market trends and applications * Global market experience * Ability ...

... and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ... We are looking for a Data Engineer who enjoys solving complex problems and building scalable data ...

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ... We are looking for a Data Engineer who enjoys solving complex problems and building scalable data ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ... We are looking for a Data Engineer who enjoys solving complex problems and building scalable data ...

Data Architect - Remote

Rochester, NY · On-site +1

$63 - $81/hr

We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ... Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark ...

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Data Platform Product Manager information

See Rochester, NY salary details

$50.8K

$157.3K

$194.4K

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

As of Jun 14, 2026, the average yearly pay for data platform product manager in Rochester, NY is $157,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,100.00 and $194,400.00 per year, depending on experience, location, and employer.

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 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.

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 job categories do people searching Data Platform Product Manager jobs in Rochester, NY look for? The top searched job categories for Data Platform Product Manager jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Platform Product Manager jobs? Cities near Rochester, NY with the most Data Platform Product Manager job openings:
Infographic showing various Data Platform Product Manager job openings in Rochester, NY as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $157,280 per year, or $75.6 per hour.
Data Platform Engineer

$113K - $135K/yr

Full-time

Posted 18 days ago


Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law