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, and project governance 
• Proficient coding skills in Python, Java, or similar languages. 
• Proficiency in Git-based version control and CI/CD pipelines for data infrastructure 
• Familiarity with workflow orchestration tools or Data Orchestration Platform — (Airflow/Perfect/Dagster, etc) 
• Strong sense of data ownership — you treat data as a product and hold a high bar for quality and reliability 

 Preferred Qualifications:

• Experience with data observability and lineage tools  
• Knowledge of AI/ML 
• Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers 
• Experience with Looker development or administration 
• Background in e-commerce, retail analytics, or SaaS data platforms 

Benefits:
Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:

• Flexible work-from-home arrangements
• 401K Match
• Flexible vacation
• Medical/Dental/Vision
• 16 weeks of paid parental leave (US)
• Technical stipend
• Professional development programs
• Wellness programs 

Location:
This is a remote position open to candidates based in the United States.

Compensation:
The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.

Wayvia is an equal opportunity employer that is committed to inclusion and diversity.

Job Brief 

 The Head of Engineering is responsible for building and leading an AI-first engineering organization that delivers intelligent, scalable, and highly reliable products at Wayvia. This role owns the strategy and execution of engineering across traditional software systems, data platforms, and AI-driven capabilities. 

 The Head of Engineering will lead the transition to AI-native development practices, embedding machine learning, automation, and data-centric thinking into how products are designed, built, deployed, and operated. This leader will scale high-performing teams that leverage AI to move faster, make better decisions, and deliver differentiated value to enterprise clients. 

Essential Functions & Responsibilities 

AI-First Engineering Leadership 

• Define and execute an AI-first engineering strategy, ensuring AI and automation are core to product development, data pipelines, and operational workflows. 
• Champion the adoption of AI-augmented development (e.g., AI-assisted coding, testing, debugging, observability, and incident response). 
• Partner closely with Product, Data, and Executive leadership to translate business goals into AI-powered product capabilities. 

Platform, Product, and Data Excellence 

• Ensure continuous delivery of stable, secure, and scalable AI-enabled platforms serving large enterprise customers. 
• Lead the design and evolution of data-intensive systems, including ingestion, normalization, enrichment, and analytics at scale. 
• Oversee the development of intelligent client-facing software that leverages AI for insights, automation, and decision support. 

  Organization & Talent 

• Build, structure, and scale a modern engineering organization that blends software engineers, data engineers, and AI-focused technologists. 
• Recruit, develop, and retain top technical talent with strong foundations in software engineering and AI-adjacent disciplines. 
• Foster a culture of experimentation, continuous learning, and responsible AI use. 

Engineering Quality & Velocity 

• Uphold rigorous code quality, model quality, and data quality standards, emphasizing maintainability, observability, and explainability. 
• Implement Agile and Lean practices optimized for rapid iteration on AI-driven systems, including experimentation and model evolution. 
• Apply a pragmatic, metrics-driven approach to prioritization, performance measurement, and delivery outcomes.

Execution & Stakeholder Alignment 

• Oversee multiple concurrent initiatives across core platforms, data systems, and AI capabilities. 
• Maintain strong communication with executive stakeholders, ensuring engineering efforts are aligned with business strategy and customer needs. 
• Anticipate and manage technical, operational, and AI-related risks (e.g., data integrity, model drift, scalability, compliance). 

Minimum Qualifications 

• Proven experience leading large, high-performing engineering organizations in a senior management capacity. 
• Experience managing 30+ engineers and managers across distributed teams. 
• Demonstrated success recruiting and retaining top technical talent. 
• Strong engineering fundamentals with a passion for high-quality, maintainable systems. 
• Hands-on experience driving modernization initiatives involving automation, data platforms, or AI-enabled systems. 

Preferred Qualifications 

• Degree in Computer Science, Engineering, or a related field. 
• 10+ years of engineering leadership experience; 5+ years in SaaS or data-driven platforms. 
• Experience leading teams building AI-enabled products, machine-learning-backed systems, or advanced analytics platforms. 
• Familiarity with modern AI/ML ecosystems (e.g., model training, inference, embeddings, vector search, LLM integration). 
• Experience with JavaScript/TypeScript, Node.js, MongoDB, and C# (.NET); cloud-native architectures preferred. 
• Proven ability to implement Agile practices in environments with high experimentation and iteration velocity. 
• Strong communication, analytical thinking, and people-leadership skills. 
• Track record of building scalable, adaptable engineering organizations. 

Location:
This is a hybrid position open to candidates based in Orange County, California.

Compensation:
The salary for this role is $20,000-250,000 with variable compensation as part of the compensation structure. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.

Wayvia is an equal opportunity employer that is committed to inclusion and diversity.