Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
About the role
- Data Engineer designing and building Knowledge Graphs from diverse datasets for enterprise AI solutions at Graphwise. Collaborating with clients to tackle data challenges in a cutting-edge environment.
Responsibilities
- Design and build robust data pipelines that convert heterogeneous data sources into unified Knowledge Graphs
- Parse, integrate, and harmonize massive datasets from structured and unstructured sources
- Transform raw data using modern ETL patterns and semantic technologies
- Implement data governance frameworks, quality checks, and automated testing
- Drive adoption of cutting-edge tools and methodologies in semantic data modeling and ontology engineering
- Work directly with clients to solve complex data challenges
Requirements
- Programming skills in Python, Java, Scala, or similar
- Strong foundation in data modeling, ETL processes, and exploratory data analysis
- Proficiency in data transformation and cleaning techniques
- Git version control and CI/CD pipeline experience
- Excellent English communication skills
- A passion for continuous learning
- Nice-to-haves: Hands-on experience with schema languages (RDFS/OWL, RDF shapes, JSON Schema, etc.)
- Experience with graph databases and SPARQL
- Knowledge of industry standards (CIM, IFC, IoT/WoT)
- Background in semantic web technologies or knowledge graphs
Benefits
- Impact: Work on projects that shape how enterprises use AI and knowledge graphs
- Growth: Access to cutting-edge training, conferences, and collaboration on innovation projects
- Culture: A friendly and professional international team where more than 65% of colleagues come from across the globe
- Balance: Flexible working hours and benefits that reflect our belief that a healthy work-life balance is a key driver of efficiency
- Perks: All the good stuff - great coffee, healthy snacks, and a workspace designed for collaboration
Job title
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Not specified
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