Sr. Data Engineer

About the Role

At European Wax Center, data is central to how we scale, innovate, and serve our guests. This is a highly hands-on role focused on building and scaling EWC's modern data platform. You will own data solutions end-to-end, creating trusted, scalable data products that support analytics, reporting, machine learning, and future AI initiatives. Success in this role requires strong technical expertise, a commitment to data quality and governance, and the ability to partner with business stakeholders to define and deliver reliable, business-ready data assets.

What You’ll Do

• Build a modern cloud data platform leveraging Snowflake, dbt, AWS, Fivetran, Rudderstack, and Astronomer.

• Work directly with executive leadership to shape the future of data at EWC.

• Drive meaningful business impact across more than 830 locations nationwide.

• Help establish the governance, analytics, and AI foundations for the next generation of data capabilities.

• Collaborate with business leaders across every major function of the company.

• Be part of a culture that values ownership, innovation, collaboration, and continuous learning.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.

• Technical Expertise: Expert-level SQL skills with demonstrated experience building complex analytical transformations at scale. Strong Python programming skills for data processing, automation, APIs, and platform tooling. Strong understanding of analytics engineering and modern ELT practices. Experience designing and implementing dimensional, semantic, and analytics-focused data models. Experience working with Git-based development workflows and code review processes.

• Data Engineering Experience: 7+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or related disciplines. Experience building and optimizing large-scale data pipelines and cloud-based data platforms. Strong understanding of modern data warehouse architecture and design principles. Experience supporting business intelligence, analytics, and self-service reporting environments. Experience supporting production environments and participating in incident response and operational support.

• Data Governance & Data Management Experience: Experience contributing to enterprise data governance initiatives. Experience establishing business metrics, KPI definitions, and data standards. Strong understanding of metadata management, lineage, stewardship, and data quality principles. Experience with governance platforms such as Atlan, Collibra, or similar solutions.

• Cloud & Modern Data Stack Experience: Experience with modern data platforms and tools such as Snowflake, dbt, AWS, Airflow, Astronomer, GitHub, Fivetran, RudderStack, Atlan, Collibra, Omni, Domo, or similar BI platforms. Experience with AWS services such as S3, RDS, Lambda (preferred).