Data Product Engineer

Data Engineering Specialist

Must have technical/functional skills 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. 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.

Roles & 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.