Product Owner, Data Platform and Data Products

Aquiva Labs

Product Owner driving the strategy and delivery of data platform and data products at Hapi. Collaborate closely with engineering, product management, and stakeholders to enhance data-driven solutions.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSCloudDynamoDBETLGraphQL

About the role

Key responsibilities & impact

Own and maintain the data platform product backlog, ensuring it is well-prioritized, visible, and aligned with both technical and business objectives.
Co-author epics, features, and user stories with Data Engineers, including clear acceptance criteria, data contracts, and technical specifications.
Facilitate sprint planning, backlog grooming, and retrospectives in partnership with the Data Engineering team lead.
Actively triage incoming requests from Product Management, Data Analysts, Solutions Architecture, and Implementation/Support, translating them into actionable backlog items.
Remove blockers and escalate risks or delivery challenges proactively to the Head of Engineering.
Define and prioritize requirements for AWS-native data ingestion pipelines, ETL/ELT workflows, and data lake architecture, in close collaboration with Data Engineers.
Own the data catalog and governance backlog, ensuring data assets are documented, discoverable, and reliable for downstream consumers.
Drive requirements for data quality frameworks, monitoring, and SLA definitions across platform pipelines.
Partner with Application Engineering to ensure data products and APIs are integrated effectively into customer-facing and internal systems.
Translate business and analytical requirements from Data Analysts and Product Managers into clearly defined data product specifications, including datasets, APIs, and dashboard-ready outputs.
Define success metrics for data products and monitor adoption, quality, and performance post-launch.
Ensure data products meet the latency, reliability, and scalability requirements of a high-volume SaaS environment.
Collaborate with the Product Management team and Solutions Architecture to maintain a coherent data platform roadmap, balancing near-term delivery with long-term platform health.
Serve as the primary point of contact for Implementation and Support teams on data-related questions, bugs, and feature requests.
Provide regular, transparent updates on platform progress, risks, and upcoming milestones to Engineering leadership and cross-functional stakeholders.
Gather feedback from internal and external data consumers to inform continuous platform improvement.

Requirements

What you’ll need

2-4 years of experience as a Product Owner or Product Manager with direct ownership of data engineering, data platform, or data infrastructure products.
Hands-on experience working within Agile/Scrum teams as a PO - writing and refining tickets, running sprint ceremonies, and managing a live backlog.
Strong working knowledge of modern cloud-native data architectures, including data lakes, lakehouses, and ELT/ETL pipeline patterns.
Practical experience with AWS data services (e.g., S3, Glue, Athena, Air Flow, DynamoDb, Aurora Clusters, etc.) - AWS Cloud Practitioner certification is a plus.
Ability to read and critically evaluate data pipeline logic, data models, and schema definitions - you don't need to write production code, but you need to understand what engineers are building.
Experience defining data contracts, data quality requirements, or SLA frameworks for data pipelines.
Proven ability to bridge technical data engineering teams and non-technical business stakeholders, translating between both directions fluently.
Experience with Jira for backlog management and sprint tracking.
Strong written and verbal communication skills, with a track record of producing clear, concise technical documentation and requirements.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field — or equivalent practical experience.
**Preferred Qualifications:**
Experience with data catalog or data governance tooling
Familiarity with data API design - REST or GraphQL - and experience defining requirements for data product delivery via APIs.
**Experience in or strong understanding of the hospitality industry **
**Familiarity with hospitality data standards such as HTNG, or experience integrating with Property Management Systems (PMS).**
Experience working with Solutions Architecture teams on multi-tenant SaaS platform design.
Experience in a fast-paced growth-stage company or working with modular, platform-based product architectures.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Aquiva Labs Website LinkedIn All Job Openings 201 - 500 employees 🤝 B2B ☁️ SaaS 🏢 Enterprise B2B
SaaS
Enterprise Aquiva Labs is a company that specializes in delivering Salesforce consulting and engineering services. With over 8 years of market experience and more than 1000 Salesforce certifications, Aquiva Labs focuses on driving exceptional business outcomes through quality, efficiency, and personalized services. They offer a range of services, including AppExchange app development, digital transformation, and managed engineering. Aquiva Labs prides itself on its global talent and expertise, serving industries such as high tech, travel, and financial services. They are known for their AI-enhanced Salesforce solutions and commitment to innovation and informed decision-making. Product Owner, Data Platform and Data Products Job not on LinkedIn 🔥 4 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer 🦅 H1B Visa Sponsor AWS Cloud DynamoDB ETL GraphQL Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own and maintain the data platform product backlog, ensuring it is well-prioritized, visible, and aligned with both technical and business objectives.
Co-author epics, features, and user stories with Data Engineers, including clear acceptance criteria, data contracts, and technical specifications.
Facilitate sprint planning, backlog grooming, and retrospectives in partnership with the Data Engineering team lead.
Actively triage incoming requests from Product Management, Data Analysts, Solutions Architecture, and Implementation/Support, translating them into actionable backlog items.
Remove blockers and escalate risks or delivery challenges proactively to the Head of Engineering.
Define and prioritize requirements for AWS-native data ingestion pipelines, ETL/ELT workflows, and data lake architecture, in close collaboration with Data Engineers.
Own the data catalog and governance backlog, ensuring data assets are documented, discoverable, and reliable for downstream consumers.
Drive requirements for data quality frameworks, monitoring, and SLA definitions across platform pipelines.
Partner with Application Engineering to ensure data products and APIs are integrated effectively into customer-facing and internal systems.
Translate business and analytical requirements from Data Analysts and Product Managers into clearly defined data product specifications, including datasets, APIs, and dashboard-ready outputs.
Define success metrics for data products and monitor adoption, quality, and performance post-launch.
Ensure data products meet the latency, reliability, and scalability requirements of a high-volume SaaS environment.
Collaborate with the Product Management team and Solutions Architecture to maintain a coherent data platform roadmap, balancing near-term delivery with long-term platform health.
Serve as the primary point of contact for Implementation and Support teams on data-related questions, bugs, and feature requests.
Provide regular, transparent updates on platform progress, risks, and upcoming milestones to Engineering leadership and cross-functional stakeholders.
Gather feedback from internal and external data consumers to inform continuous platform improvement. 🎯 Requirements
2-4 years of experience as a Product Owner or Product Manager with direct ownership of data engineering, data platform, or data infrastructure products.
Hands-on experience working within Agile/Scrum teams as a PO - writing and refining tickets, running sprint ceremonies, and managing a live backlog.
Strong working knowledge of modern cloud-native data architectures, including data lakes, lakehouses, and ELT/ETL pipeline patterns.
Practical experience with AWS data services (e.g., S3, Glue, Athena, Air Flow, DynamoDb, Aurora Clusters, etc.) - AWS Cloud Practitioner certification is a plus.
Ability to read and critically evaluate data pipeline logic, data models, and schema definitions - you don't need to write production code, but you need to understand what engineers are building.
Experience defining data contracts, data quality requirements, or SLA frameworks for data pipelines.
Proven ability to bridge technical data engineering teams and non-technical business stakeholders, translating between both directions fluently.
Experience with Jira for backlog management and sprint tracking.
Strong written and verbal communication skills, with a track record of producing clear, concise technical documentation and requirements.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field — or equivalent practical experience.
**Preferred Qualifications:**
Experience with data catalog or data governance tooling
Familiarity with data API design - REST or GraphQL - and experience defining requirements for data product delivery via APIs.
**Experience in or strong understanding of the hospitality industry **
**Familiarity with hospitality data standards such as HTNG, or experience integrating with Property Management Systems (PMS).**
Experience working with Solutions Architecture teams on multi-tenant SaaS platform design.
Experience in a fast-paced growth-stage company or working with modular, platform-based product architectures. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer 5, Experimentation Platform 🔥 3 hours ago Netflix 10,000+ employees 👥 B2C 🛍️ eCommerce 📱 Media Website LinkedIn All Job Openings Data Engineer responsible for designing and maintaining data pipelines that process billions of events per day. Collaborating with data science and software engineering teams to enhance experimentation capabilities at Netflix. 🇺🇸 United States – Remote 💵 $388k - $558k / year 💰 $20M Post-IPO Equity on 2022-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Java Python Scala Spark SQL Software Engineer Manager – Data Engineering, EDW 🔥 5 hours ago The Home Depot 10,000+ employees 🛒 Retail 👥 B2C Website LinkedIn All Job Openings Software Engineering Manager at Home Depot managing enterprise data engineering initiatives. Leading and mentoring teams while collaborating with product teams and vendors for scalable software solutions. 🇺🇸 United States – Remote 💵 $140k - $240k / year 💰 Debt Financing on 2007-07 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer BigQuery Cloud ETL Google Cloud Platform SQL HCM Data Migration Middleware Developer 🔥 8 hours ago CACI International Inc 10,000+ employees 🔒 Cybersecurity Website LinkedIn All Job Openings HCM Data Migration Middleware Developer supporting large-scale federal HCM modernization program. Designing, building, and maintaining ETL pipelines for transitioning to Oracle Fusion Cloud HCM platform. 🇺🇸 United States – Remote 💵 $75.2k - $158.1k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Cloud ETL Informatica Oracle SQL Data Engineer 🔥 13 hours ago CenterWell Senior Primary Care 1001 - 5000 ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Data Engineer creating scalable data processing solutions at CenterWell. Ingesting data and developing tools with AI and big data techniques for enhanced service delivery. 🇺🇸 United States – Remote 💵 $97.9k - $133.5k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer Cloud Python SQL Data Engineer 🔥 14 hours ago Orderly Wellness Corporation 51 - 200 🧘 Wellness 💊 Pharmaceuticals 🏪 Marketplace Website LinkedIn All Job Openings Data Engineer at OrderlyMeds connecting multiple systems to BigQuery for strategic insights. Collaborating with a cross-functional team to enhance data utility and drive business decisions. 🇺🇸 United States – Remote 💵 $145k - $185k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure BigQuery Cloud ETL Google Cloud Platform Heroku Python SQL View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

data platform managementdata engineeringdata infrastructureAgileScrumdata lakesELTETLdata contractsdata quality frameworks

Soft Skills

communicationcollaborationproblem-solvingstakeholder managementrequirements gatheringtranslating technical conceptsprioritizationfeedback gatheringrisk managementdocumentation

Certifications

AWS Cloud Practitioner