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Technical Product Manager - Data Platform

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Prima

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Location:
Spain , Madrid

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Contract Type:
Not provided

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Salary:

Not provided

Job Responsibility:

  • Own the product strategy for the Data Platform, defining the vision, principles, roadmap, and prioritization framework aligned with business and engineering goals
  • Partner closely with the Head of Data Platform and engineering teams to ensure fast, scalable, and consistent product delivery
  • Act as the voice of internal users by mapping end-to-end journeys - from discoverability and onboarding to adoption, operations, and scaling - identifying friction points and opportunities for improvement
  • Drive product discovery and execution in collaboration with cross-functional stakeholders across Data Platform Engineering, Security, Governance and Analytics
  • Define and monitor success metrics such as adoption, reliability, developer productivity, cost efficiency, time-to-first-value, and data quality to guide prioritization and decision-making
  • Collaborate with engineering teams on technical trade-offs, sequencing, and solution design, helping balance scalability, usability and speed of delivery
  • Champion a product mindset across platform teams, promoting usability, self-service, scalability, reliability, and security-by-default principles
  • Improve platform adoption and enablement through documentation, feedback loops, onboarding experiences, and training initiatives
  • Contribute to building a modern, scalable data ecosystem leveraging Databricks, AWS and Python-based solutions

Requirements:

  • 5+ years of experience in Product Management or a similar role, with strong exposure to internal platforms, developer tools, infrastructure, or data platforms
  • Proven track record of driving user adoption and delivering measurable product outcomes in complex technical environments
  • Strong technical understanding of modern data architectures, workflows, and platform ecosystems
  • Experience working with modern cloud-native data stacks, particularly AWS and Databricks (or equivalent lakehouse/data platform technologies)
  • Ability to engage deeply with topics such as instrumentation, pipelines, monitoring, data quality, and downstream consumption, translating technical complexity into clear product requirements
  • Strong analytical and data-driven mindset with experience defining KPIs, measuring outcomes, and driving continuous improvement
  • Experience operating in cross-functional and ambiguous environments, influencing stakeholders without direct authority
  • Excellent communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to both technical and non-technical audiences
  • Practical familiarity with: AWS services, IAM/security, networking concepts, observability, and cost optimization, databricks and lakehouse architectures, Python and modern data workflow

Nice to have:

  • Previous hands-on experience as a Data Engineer, Analytics Engineer or Software Engineer
  • Familiarity with platform engineering concepts such as golden paths, Internal Developer Platforms (IDP), DevEx metrics, and self-service enablement
  • Experience with data governance, access management, observability and data quality frameworks
  • Exposure to medallion architectures, Delta Lake patterns, and enterprise-scale data product environments
  • Experience building enablement programs including documentation, onboarding flows, and training for internal technical users
What we offer:
  • Work Your Way: Enjoy full flexibility - work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
  • Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you
  • Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support

Additional Information:

Job Posted:
May 17, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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