Sr. Unified Data/Semantic Engineer

at  Southern Glazers Wine and Spirits

WHAT YOU NEED TO KNOW

Open the door to a groundbreaking tech career with an industry leader. Southern Glazer’s Wine & Spirits is North America’s preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. To create a new era in alcohol beverage sales and service, we’re heavily invested in the most transformative new technologies – and the most brilliant tech professionals. Southern Glazer’s was named by Newsweek as a Most Loved Workplace and is included on the Forbes lists for Largest Private Companies and Best Employers for Diversity.
As a full-time employee, you can choose from a full menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more.
We offer continuous learning and career growth in a fast-paced environment where you are respected, your voice is heard, and technology is part of our strategy for success. If you’re looking to fill your glass with opportunity, come join our FAMILY.

EXPERIENCE

• 5+ Years of Experience with a BS or MS in Computer Science or equivalent education and experience
• 3+ years of experience in Framework development and budling Semantic Layers to solve complex business use cases.

TECHNICAL SKILLS

• Strong coding skills in one or more programming languages - Python, Scala or Java
• Experience in working with petabyte scale data sets and developing semantic layer solutions in Databricks, Snowflake or similar large platforms.
• Experience with cloud-based data warehousing, transformation tools like Delta Lake Tables, DBT, Fivetran or Snowflake.
• Proficiency in machine learning and familiarity with open-source machine learning ecosystems.

SOFT SKILLS

• Excellent communication and collaboration skills.
• Strategic thinker with a strong analytical mindset and problem-solving abilities.

• Design and Develop a scalable modular semantic layer framework, which can be seamlessly integrated with various Data and AI/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 semantic layer into various AI/ML usecases.
• 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.