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Semantic Platform Engineer

ExperisBoston, Massachusetts🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This hybrid Semantic Platform Engineer role offers a fantastic opportunity to shape a cutting-edge semantic data platform, developing valuable skills in ontology engineering and data pipeline development within a reputable company. You'll thrive here if you're a mid-senior engineer passionate about building robust, scalable data solutions and eager to contribute to innovative analytics. Apply now to leverage your RDF, SPARQL, and Azure expertise in a role that fosters significant technical growth and impactful contributions.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Boston, Massachusetts, United States
AzureDatabricks

Job Description

Join the engineering team building and operating a production semantic data platform. You will develop ontologies and data pipelines, deploy an RDF repository on Azure, create documented query endpoints, and implement testing and CI workflows for semantic data solutions supporting condition-based maintenance analytics.

Responsibilities

  • Deploy and maintain an ontology engine and shared semantic repository.
  • Build data pipelines to load resolved data into the Azure repository alongside Databricks analytics.
  • Use containers and infrastructure as code to support portable deployments.
  • Develop documented, read-only query endpoints and measure query performance.
  • Version and test ontologies and mappings using SPARQL competency questions and SHACL conformance checks.
  • Implement CI workflows and document semantic platform solutions.

Required Skills

  • RDF/RDFSOWL 2
  • SPARQL 1.1
  • SHACLPythonrdflibpy
  • SHACLRDF triple stores and reasoners
  • Azure
  • Databricks

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