Senior Data Infrastructure Engineer, Dandy

• 5+ years of data infrastructure engineering experience, preferably in a high-growth startup environment
• Proficiency in DBT, Dagster/Airflow, Python, SQL
• Experience in Public Cloud Infrastructure (GCP preferred, AWS, Azure)
• Experience creating and maintaining CI/CD pipelines for DBT models
• Experience with infrastructure as code platforms (Terraform, Pulumi)
• Experience designing the architecture and automation of infrastructure within a cloud environment
• Hands-on expertise in designing and implementing data pipelines, ETL processes, and data platforms
• A collaborative, pragmatic, and growth-oriented mindset. We are a small but mighty team, and everyone must be aligned on our goals
• The ability to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process
• Self-motivated, self-managing and takes ownership, with excellent organizational skills

Desirable

• About the Role
• Dandy is hiring a Senior Data Infrastructure Engineer to join our rapidly scaling technology organization. As a member of Dandy's Platform Engineering team, you will play a key role in the success of our team and company. You'll design and build scalable infrastructure and systems to support our rapidly growing product engineering function
• Our stack: BigQuery, Looker, FiveTran, DBT, Postgresql, GCP, Pulumi
• Set the vision and technical direction for Dandy’s Data Infrastructure team, collaborating with stakeholders
• Own Dandy’s data pipelines and warehouse, ingesting data from hundreds of sources and scaling the tooling and platform to support the data engineering and analytics teams’ needs as the business grows
• Develop and maintain infrastructure, systems, and tooling to support Dandy’s data engineering and in a secure, well-tested, and performant way
• Improve developer experience and productivity across our range of software repositories
• Collaborate with stakeholders within the tech org to influence overall objectives and long-term goals of your team
• Advocate for improvements to product quality, security, and performance that have a particular impact across your team and others
• Design improvements to infrastructure quality, security, and performance
• Craft code that meets our internal standards for style, maintainability, and best practices
• Foster a culture of proactive collaboration and systems resiliency and performance. Drive scalable improvements to resiliency and effectiveness through automation
• Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions