Adoption Engineer

About the Role

We are looking for a skilled Adoption Engineer with strong hands-on experience in dbt (Core & Cloud), DevOps, Infrastructure as Code, and Airflow. This role is critical to support the successful rollout, scaling, and enablement of modern data transformation platforms within enterprise environments.

As an Adoption Engineer, you will serve as a technical bridge between platform engineering and data users, ensuring smooth adoption of tools and best practices across teams. You will be responsible for building robust, reusable infrastructure components, supporting automation, and guiding users through optimal implementation patterns.

Key Responsibilities

• Act as a subject matter expert (SME) in dbt Core and Cloud implementation, configuration, and adoption strategy

• Design and build scalable and reusable infrastructure components using IaC tools (Terraform, CloudFormation, etc.)

• Enable and support Airflow DAG creation and scheduling for orchestration of dbt models and other workflows

• Collaborate with data teams to improve workflows, CI/CD pipelines, and DevOps processes

• Define and enforce best practices in data modeling, code versioning, and deployment automation

• Provide onboarding and enablement support to teams migrating to dbt Cloud

• Support observability, testing, and documentation standards for all data transformation processes

• Ensure security, scalability, and operational excellence across the data transformation stack

Required Skills

• Proven experience with dbt Core and dbt Cloud (advanced user-level, admin or platform support experience is a plus)

• Strong proficiency in SQL and data modeling principles

• Experience with DevOps tooling and CI/CD pipelines

• Hands-on experience with Airflow and workflow orchestration

• Experience with Infrastructure as Code (Terraform preferred, but others acceptable)

• Cloud platform familiarity (AWS, Azure or GCP)

• Strong communication skills, with the ability to support teams across different technical maturity levels

Nice to Have

• Experience in data platforms such as Snowflake, BigQuery, Databricks, or Redshift

• Familiarity with monitoring & observability tools for data workflows

• Understanding of data governance and access control concepts

• Background in platform evangelism, internal consulting, or enablement is a plus