Data Engineer

With more than 80 years of experience, Oxford has built a house of emotionally resonant lifestyle brands that can stand the test of time and trends. We are the parent company behind the most beloved lifestyle brands in the U.S. Headquartered in Atlanta, GA, Oxford is not just an owner. We’re stewards, growing great businesses, while staying true to what makes them special.

We offer competitive benefits packages which may include generous vacation policy, health and wellness coverage, 401k with company match, discounted stock purchasing, options for education reimbursement, and amazing product discounts! We value work-life balance and offer a flexible corporate office environment.

              

About the Role:

The Data Engineer will work with the Data & Analytics team to implement and maintain a robust data platform used to process and store data across Oxford Industries and its operating divisions. The Data Team supports a complex landscape of 100+ integrated systems and more than 3,000 data models that power analytics, reporting, and operations across the enterprise. The platform currently runs on Snowflake with dbt for transformation, a custom Azure-based Python framework for ELT, and Boomi as our iPaaS platform. Responsibilities include:

• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources
• Iteratively improve data platform for greater scalability, optimization of data delivery, and automation of manual processes
• Implement process improvements to support data integrity efforts and system performance
• Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
• Support the Data & Analytics Department to create database designs that meet business needs while optimizing performance
• Create and maintain systems documentation
• Write maintainable, performant code
• Consistently follow standards, guidelines, and procedures for design and maintenance
• Analyze the existing data structures and identify the sources of incoming data to drive source to target mapping and other related artifacts.
• Support the Data & Analytics Department’s development of reference, master, and metadata management; data integration and interoperability; data quality processes; data analytics and reporting capabilities; and data governance.

Experience and Requirements:

• Generally, 3+ years of experience in software engineering, data management, or data analytics
• Experience with cloud data warehouse platforms
• Good understanding of ELT/ETL workflows and concepts, data pipelines, and data structures
• Some experience designing and building conceptual and physical data models
• Intermediate software engineering skills

What happens next?

If you are interested in this opportunity please apply! You will receive an email confirming we received your application. We will review your application as soon as possible. You can update your resume or information at any time by accessing your candidate profile.

              

This Company is an equal opportunity employer and does not discriminate against qualified applicants based on race, color, sex, gender, gender identity, gender expression, religious creed, sexual orientation, pregnancy, national origin, ancestry, age, military and veteran status, marital status, physical or mental disability, protected medical condition, genetic information, reproductive health decision-making, lawful off-duty use of marijuana, any other characteristic protected by law, or any combination of two or more of the characteristics listed here. If you need an accommodation to complete an online application, please contact the location you are applying to or contact us at 1-888-725-1899.

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