Senior Unified Data Semantic Engineer

Duties

• Design and develop a scalable modular semantic layer framework that can be seamlessly integrated with various data and artificial intelligence (AI) and machine learning (ML) components across the organization.
• Ensure the semantic layer is aligned with industry standards and best practices for knowledge representation, such as RDF, OWL, and SPARQL.
• Develop the necessary frameworks and interfaces to enable the integration of the semantic layer into various AI/ML use cases.
• Establish the governance processes and mechanisms to maintain the integrity, consistency, and accuracy of the semantic layer over time.
• Provide training and support to the wider engineering and business teams to facilitate the adoption and effective utilization of the semantic layer.
• Continuously monitor and enhance the semantic layer to address evolving business requirements and technological advances.
• Collaborate with the enterprise architecture, data architecture, and AI/ML teams to ensure the semantic layer is aligned with the organization's overall data and technology strategy.

Requirements

• Master's degree (or foreign equivalent) in computer science or related field; plus 3 years of experience in job offered or similar occupation.
• Bachelor's degree plus 5 years of experience also acceptable.
• At least 3 years of experience in framework development and building semantic layers to solve complex business use cases.
• Knowledge of data engineering, computer programming (Python, Scala, or Java), and AI/ML algorithms.
• Experience with large-scale datasets and developing semantic layer solutions (Databricks, Snowflake, or similar) and cloud-based data warehousing and transformation tools (Delta Lake tables, DBT, Fivetran, or similar).