Senior Unified Data Semantic Engineer

Southern Glazer’s Wine and Spirits, LLC • Dallas, TX

2d • Hybrid

About The Position

Southern Glazer’s Wine and Spirits LLC is seeking a Senior Unified Data/Semantic Engineer to design and develop a scalable modular semantic layer framework. This framework will be seamlessly integrated with various data and artificial intelligence (AI) and machine learning (ML) components across the organization. The role ensures the semantic layer aligns with industry standards like RDF, OWL, and SPARQL, and develops necessary frameworks for AI/ML use cases. Governance processes will be established to maintain data integrity, consistency, and accuracy. The position involves providing training and support to engineering and business teams, continuously monitoring and enhancing the semantic layer, and collaborating with enterprise architecture, data architecture, and AI/ML teams to align with the organization's data and technology strategy. The role may involve telecommuting but requires residence near the Miramar, Florida headquarters or Dallas, Texas office, with up to 10% domestic travel.

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).

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior