Aquiva Labs

Product Owner, Data Platform and Data Products

Aquiva Labs

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AWSCloudDynamoDBETLGraphQL

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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