Company Overview:
At Wayvia , we help the world’s top brands stay ahead—using AI, data, and innovation to shape the future of commerce. Whether you’re charting a new path or leveling up your journey, Wayvia is where your career can go further. We’d love to meet you.
We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other—with trust, transparency, and the human connection that makes great work possible.
At Wayvia , you’ll find a team that’s curious, collaborative, and always up for solving what’s next. We move fast, think boldly, and support one another in building something that matters—for our clients, for shoppers, and for each other.
Job Brief:
The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives.
Essential Functions & Responsibilities:
- Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines.
- Prioritize, manage, and deliver multiple high-impact projects.
- Establish data quality standards — automated tests, anomaly detection, and freshness SLAs
- Write and maintain dbt models, tests, and documentation to ensure data quality and consistency
- Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure
- Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers
- Own dbt model governance — standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains
- Define and maintain a consistent semantic layer — metric definitions, business logic, and entity relationships — ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer
- Support Snowflake administration/Looker administration alongside other data platform team members
Minimum Qualifications:
- BS degree in Computer Science or related field or equivalent practical experience.
- 5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments
- Expertise in processing and integrating large-scale data from multiple sources.
- Advanced SQL query skills with complex joins and common-table expressions.
- Strong hands-on Snowflake experience (prior admin experience a plus, but not required)
- Proficiency with dbt — production-grade model development, testing, documentation, a