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Technical Product Manager – Data Platform (f/m/d)

Posted 13 days agoViewed

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💎 Seniority level: Manager, 5+ years

📍 Location: Europe

🔍 Industry: Fintech

🏢 Company: Upvest👥 1-10💰 $667,439 almost 4 years agoReal Estate InvestmentFinancial ServicesOnline PortalsReal Estate

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSSQLCloud ComputingData AnalysisETLGCPProduct ManagementSnowflakeProduct DevelopmentApache KafkaAzureData engineeringREST APIData visualizationStrategic thinkingData modeling

Requirements:
  • 5+ years in a product management role, preferably in technical or platform-oriented products within a data-intensive environment.
  • Strong understanding of data engineering concepts such as data pipelines, data warehousing, (reverse) ETL/ELT, data modelling, distributed event logs (Kafka), data processing libraries (Flink, Kafka Streams), and developer experience in all of these topics.
  • Proven ability to define a vision and strategy, break it into actionable steps, and deliver measurable outcomes.
Responsibilities:
  • Define and own the vision, roadmap, and strategy for the data platform, ensuring alignment with broader company goals and engineering objectives.
  • Collaborate with engineering teams to build foundational data infrastructure and tools that enable efficient development and deployment of data products.
  • Work closely with infrastructure, data engineering, analytics, and business teams to understand their needs and translate them into platform requirements.
  • Drive the development of platform capabilities, such as data ingestion and processing frameworks, APIs, self-service pipelines, data governance frameworks, and self-service tools.
  • Lead initiatives to make high-quality, discoverable, and secure data available across teams, promoting a culture of data ownership and autonomy.
  • Collaborate with engineering teams to ensure on-time, high-quality delivery of platform features, ensuring they meet technical and business requirements.
  • Advocate for the adoption and use of the data platform tools and services, ensuring alignment across the organization and addressing resistance points where necessary.
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