Massive Rocket | Global Braze & Snowflake Agency

Technical Product Owner, RTL+

Massive Rocket | Global Braze & Snowflake Agency

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Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformGrafanaKafkaKotlinKubernetesPrometheusPythonSparkTerraform

About the role

  • Define and own the product vision and roadmap for Kafka/Data Engineering capabilities; translate business needs into technical requirements and prioritized backlogs; ensure clear acceptance criteria and measurable KPIs
  • Collaborate with Data, Analytics, Marketing, and Product teams to define event models, SLAs, and integration needs; align stakeholders on priorities, trade-offs, and delivery timelines
  • Shape the architecture and evolution of Kafka-based pipelines (topics, partitions, retention, compaction, Connect/Debezium, Streams/ksqlDB); partner with engineers to ensure scalable, secure, and cost-efficient solutions
  • Drive schema governance (Avro/Protobuf), data quality enforcement, and regulatory compliance (GDPR/CCPA, PII handling); ensure monitoring, observability, and incident management practices are in place
  • Own backlog grooming, sprint planning, and delivery tracking; ensure throughput, latency, and consumer lag targets are met; manage risks, dependencies, and SLAs
  • Continuously evaluate and introduce improvements in reliability, cost-efficiency, and latency reduction; assess new tools, frameworks, and best practices in data streaming and event-driven systems

Requirements

  • 4+ years of proven experience as a Product Owner or Technical Product Owner in data engineering or streaming domains
  • Demonstrated ability to own a product vision and roadmap, align it with business goals, and communicate it effectively to technical and non-technical stakeholders
  • Hands-on experience in backlog management, user story writing, prioritization (MoSCoW, WSJF, RICE), and defining acceptance criteria
  • Strong experience with Agile/Scrum/Kanban frameworks, backlog grooming, and sprint ceremonies
  • Skilled at gathering and refining requirements from diverse stakeholders (data, analytics, product, marketing)
  • Ability to translate business outcomes into technical user stories for Kafka/data engineering teams
  • Experience in balancing trade-offs (cost, reliability, time-to-market, compliance) and negotiating priorities
  • Comfortable defining KPIs, SLAs, and success metrics for platform capabilities
  • Strong understanding of event-driven architectures and the Kafka ecosystem (Confluent, Kafka Connect, Schema Registry, Streams/ksqlDB)
  • Familiarity with data governance, compliance, and security requirements (GDPR/CCPA, PII handling, encryption, RBAC/ACLs)
  • Working knowledge of cloud platforms (AWS/Azure/GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform/Helm)
  • Ability to engage in technical discussions on latency, throughput, consumer lag, schema evolution, and cost optimization
  • Excellent written and verbal communication skills (English C1 or higher)
  • Proven ability to present technical concepts in business language and influence decisions
  • Experience in cross-functional leadership within engineering squads or consulting/client-facing roles
  • Preferred: experience with platform product ownership, observability/reliability practices (Prometheus, Grafana, Datadog), exposure to Customer Data Platforms (mParticle) or tag management systems (Tealium), and background in data engineering/software development (Python, Kotlin, Spark/Flink)
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