Senior Data & AI Platforms Engineer

The Opportunity

Guild is looking for a Senior Data & AI Platforms Engineer to join a small, high-performing team building the backbone of our data ecosystem. In this role, you will design, build, and scale the data infrastructure that powers analytics, operational insights, and product innovation across Guild. This is a high-impact, end-to-end ownership role for someone who brings a platform mindset and wants to shape how data drives decisions across the organization.

Here are the outcomes you will be expected to achieve:

• Build and maintain reliable, scalable data pipelines that deliver trusted data to analysts, stakeholders, and product teams on time and without manual intervention.
• Deliver accurate, well-modeled data marts and models that directly enable self-serve analytics and confident business decision-making.
• Expand the data platform's scope to support production engineering use cases from the warehouse, establishing patterns and prototypes that the broader organization can adopt.

Here's what you will do in this role to achieve these outcomes:

• Architect, develop, and maintain data pipelines using Fivetran, dbt, S3, Glue, orchestrators, and custom Python jobs to keep data flowing reliably across the organization.
• Manage and optimize data models in dbt, ensuring they are scalable, accurate, and aligned to business use cases.
• Integrate and transform data from sources including AuroraDB, Snowflake, Postgres, MySQL, and DynamoDB.
• Collaborate with analytics and commercial teams to design models and marts in visualization tools that empower decision-making.
• Uphold data quality through testing, validation, and observability best practices.
• Provide enterprise-wide guidance and prototyping on key data initiatives, especially as the platform expands to support production engineering from the warehouse.
• Mentor and upskill team members while contributing to evolving data engineering standards and processes.

You are probably a strong candidate for this role if you've accomplished:

• Built and maintained production-grade data pipelines using tools like Snowflake, dbt, and Fivetran in a fast-paced, high-growth environment.
• Designed scalable data models and warehousing solutions that connected technical infrastructure with commercial or product outcomes.
• Worked cross-functionally with analytics, product, or business teams to translate data needs into reliable, self-serve solutions.
• Navigated complex source systems (relational databases, NoSQL, APIs) and built integrations that handled messy, real-world data at scale.

Here are the skills/competencies you have that will be needed to achieve the expected outcomes:

• Expert-level SQL (windo