Data Product Engineer

Location: Bayonne, NJ
Salary: $ USD Annually - $ USD Annually
Description: Our client is currently seeking a Data Product Engineer

Job Responsibilities:

• Lead workshops, demos, onboarding sessions, and cross-domain engagements to drive adoption of an enterprise data marketplace platform.
• Serve as the primary technical presenter for platform capabilities across domain and stakeholder groups.
• Partner with domain owners to understand, refine, and articulate their data product offerings and how they fit within the broader ecosystem.
• Configure, maintain, and enhance demo environments showcasing platform features and data product capabilities.
• Support lightweight development, proof-of-concept builds, and sample integrations to highlight platform functionality.
• Translate technical concepts into clear, business-friendly narratives tailored for non-technical audiences.
• Gather structured feedback from domain teams, synthesize themes, and collaborate with product/engineering teams to influence roadmap decisions.
• Develop training materials, enablement assets, playbooks, and repeatable demos to accelerate platform adoption.
• Advocate for domain teams by ensuring their data product challenges, needs, and opportunities are represented in ongoing platform planning.
• Support ongoing adoption efforts including office hours, community sessions, and cross-domain knowledge-sharing initiatives.

Must Have /

Required:

• Experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
• Strong understanding of data products, data modeling, data APIs, enterprise integrations, and metadata-driven architectures
  .
• Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud Platform) and data pipelines/integration tooling.
• Familiarity with REST/Graph
  
  QL APIs
  , event-driven workflows, and data ingestion patterns.
• Experience configuring demonstrations, building proof-of-concepts, or developing sample applications for platform enablement.
• Strong communication and presentation skills, with ability to translate technical concepts to business audiences.
• Experience facilitating workshops, demos, technical onboarding, or platform adoption activities.
• Ability to collaborate with engineering, product, and business stakeholders across multiple domains.
• Background in solution architecture, sales engineering, or customer engineering is a strong plus.
• Knowledge of data marketplaces, data mesh, governance frameworks
  , or product-focused data ecosystems.
• Strong storytelling capabilities when articulating data product value and domain capabilities.

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