Job Title: Marketplace Data Product Engineer
Duration: 6+ months
Location: Newark, NJ (Hybrid)
 
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.Key Responsibilities

• Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
• Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
• Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
• Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
• Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
• Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
• Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
• Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
• Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
• Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.

Required Skills & Qualifications

• 4–7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
• Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
• Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
• Excellent communication and presentation skills, with experience translating technical concepts for business partners.
• Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
• Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
• Strong collaboration and stakeholder management skills across engineering, product, and business teams.
• Comfortable working in fast?moving environments and driving clarity through ambiguity.

Preferred Qualifications

• Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
• Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
• Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
• Background in solution architecture, customer engineering, or sales engineering.
• Experience developing demo environments, sample apps, or repeatable platform enablement assets.
• Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.

 
 
  
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 60.00/hr.