Unified Data Semantic Engineer

Southern Glazer s Wine and Spirits
Dallas, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$170,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Big Data Cloud Database Computer Programming Data Architecture Information Engineering Python (Programming Language) Machine Learning SPARQL Snowflake Data Layers
+4 more
Knowledge Representation Data Lakes Information Technology Databricks

Job description

  • 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.
  • May telecommute but must reside near Miramar, Florida headquarters or Dallas, Texas office.
  • Requires 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).

Benefits & conditions

U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification

200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

EEO Statement

Southern Glazer's Wine and Spirits, an Affirmative Action/EEO employer, prohibits discrimination and harassment of any type and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. SGWS complies with all federal, state and local laws concerning consideration of a qualified applicant's arrest and/or criminal conviction records. Southern Glazer's Wine and Spirits provides competitive compensation based on estimated performance level consistent with the past relevant experience, knowledge, skills, abilities and education of employees. Unless otherwise expressly stated, any pay ranges posted here are estimates from outside of Southern Glazer's Wine and Spirits and do not reflect Southern Glazer's pay bands or ranges.

If you have any questions or concerns about whether this posting complies/adheres with local pay transparency requirements, please contact the SGWS talent acquisition team at

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