Staff Data Engineer: Architect Data, Drive Insights

Southern-Glazer-S-Wine-; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Southern Glazer's Wine and Spirits seeks a Staff Data Engineer to shape our data strategy and architecture across the enterprise. You will build and maintain scalable data systems, transform raw data into actionable insights, and collaborate with architects, analysts, and data scientists.

This senior role requires 6–9+ years in data management or data engineering, with strong DevOps and Agile experience, and a proven record of leading data projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field.
• 6–9+ years of experience in data management disciplines or data engineering tasks.
• Excellent verbal, written, presentation, and facilitation skills.
• Strong experience in DevOps and Agile technology environments.
• Proven ability to lead data engineering projects and initiatives.

Responsibilities

• Build and maintain data management systems that integrate core data sources.
• Develop ETL processes and data transformations (ETL, SQL stored procedures, etc.).
• Ensure data quality and metadata repositories.
• Design scalable data infrastructures and data models to transform raw data into insights.
• Lead cross-functional data initiatives and mentor junior team members.
• Troubleshoot data analytic tools and resolve production and development data issues.

Skills

Data engineering

Leadership

DevOps

Agile methodologies

Data modeling

ETL

SQL

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems

Job description

Southern Glazer's Wine and Spirits seeks a Staff Data Engineer to shape our data strategy and architecture across the enterprise. You will build and maintain scalable data systems, transform raw data into actionable insights, and collaborate with architects, analysts, and data scientists.

This senior role requires 6–9+ years in data management or data engineering, with strong DevOps and Agile experience, and a proven record of leading data projects.