At a Glance
- Tasks: Transform enterprise data into insights and develop a Smart Data Fabric.
- Company: Adecco, an inclusive employment consultancy focused on diverse talent.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and redefine how data drives decision-making.
- Why this job: Be at the forefront of data innovation and shape the future of data architecture.
- Qualifications: 7-12 years in graph databases and expertise in query languages like Cypher and SPARQL.
The predicted salary is between 80000 - 100000 £ per year.
Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation.
Role: Semantic Graph & Ontology Architect
Fully Remote
- Graph & Semantic Architecture: Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Establish standards for semantic consistency and data quality checks.
- Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Deliver reference implementations. Partner with data, platform, and security teams for governance and observability.
- Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues.
A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Exposure to vector retrieval and how graph context informs data re-ranking.
This is your opportunity to be at the forefront of data innovation in the energy sector! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Join our client and help shape the future of data engineering!
AWS Architect - Fully Remote in London employer: Adecco
At Adecco, we pride ourselves on being an inclusive employer that values diversity and fosters a collaborative work culture. As a fully remote company, we offer flexible working arrangements that empower our employees to thrive while providing ample opportunities for professional growth in the rapidly evolving field of data architecture. Join us to be part of a forward-thinking team that is dedicated to transforming enterprise data into impactful insights, all while enjoying the benefits of a supportive and innovative environment.
