Data Product Engineer

Job Description
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/Graph

QL 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.