Data Engineer III — Database & Platform Engineering
About This Team:
Our Database Administration (DBA) team is part of Playlist's Data Platform Engineering organization, responsible for ensuring the reliability, security, and performance of the database infrastructure supporting Mindbody and Booker. You'll join a globally distributed team that partners closely with software engineers to support critical production systems, troubleshoot complex database issues, and improve the developer experience.
While much of our work today centers on Microsoft SQL Server, we're also focused on modernizing our infrastructure through automation, self-service tooling, and evolving database technologies. We're looking for a Data Engineer who enjoys solving technical challenges, takes ownership of problems, and is excited to help shape the future of our database platform.
The Role You'll Play
Build, operate, and improve reliable, secure, and performant database infrastructure supporting Mindbody, Booker, and the broader Playlist platform.
Support and troubleshoot production Microsoft SQL Server environments, including query performance, database availability, and operational incidents.
Develop scripts, tools, and automation that reduce manual work and enable more efficient, self-service database operations for engineering teams.
Partner with application engineers to investigate database issues, support safe changes, and improve the developer experience.
Contribute to the modernization of our database infrastructure, including migration initiatives and improvements to deployment, testing, and infrastructure management.
Identify opportunities to improve existing processes, propose practical solutions, and independently drive projects from investigation through delivery.
Work across teams to document technical decisions, share knowledge, and continuously improve how we operate critical data systems.
Experience You Bring
Hands-on experience supporting or engineering production Microsoft SQL Server environments, including database administration and complex troubleshooting in both Windows and Linux operating systems.
Strong SQL skills, including query analysis, investigation, and performance tuning.
Experience using PowerShell and Python to script or automate technical and operational work.
Ability to triage production problems, investigate complex issues, identify root causes, and implement durable solutions.
Experience improving systems through automation, software engineering, or more reliable operational practices.
Comfort working with internal engineering partners and communicating technical trade-offs clearly.
Experience in mentoring engineers, influencing technical roadmaps, and advocating for best practices
Curiosity, initiative, and a track record of independently learning new technologies and improving existing ways of working.
Helpful, But Not Required
Experience with PostgreSQL, AWS RDS & Aurora, MongoDB (or other NoSQL data platforms), Snowflake, or database modernization and migration projects.
Familiarity with Linux, AWS, Azure, CI/CD pipelines, infrastructure as code, and automated testing.
Development experience with languages or tools such as Python, TypeScript, Go, Pulumi, AWS Lambda or Glue.