At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.
Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.
The Role You'll Play:
As a Senior Engineer for the Data Platform Engineer team, you'll shape the backbone of our data strategy—designing scalable pipelines, championing governance, and enabling AI-ready infrastructure. You'll lead cross-functional projects that fuel analytics, automation, and decision-making across the Playlist ecosystem. Your work will directly empower our teams to create personalized, real-world experiences for millions of users.
- Architect and optimize cloud-native data warehouse solutions that power real-time decisions and long-term strategy
- Design and scale dbt models across bronze/silver layers with a focus on data contracts, observability, and semantic consistency
- Build and maintain robust ETL/ELT pipelines using tools like Fivetran, Snowpipe, and CDC to support streaming and batch workloads
- Lead the design of infrastructure-as-code deployments with Pulumi or Terraform, driving CI/CD maturity and cost-efficient operations
- Elevate data quality with comprehensive monitoring, anomaly detection, and validation frameworks
- Collaborate across squads to align data contracts, expand shared data marts, and support machine learning enablement
- Champion data governance, ensuring privacy and compliance through PII tagging, lineage, and role-based access controls
- Drive continuous platform improvement through systematic tech debt remediation and modernization initiatives
Experience You Bring:
- Strong expertise in data engineering, software engineering, platform architecture, or modern data warehousing
- Proficient in Python and SQL for automation, transformation logic, and data platform development
- Experience implementing observability standards, anomaly detection, and data quality validation
- Proven ability to lead complex, multi-squad initiatives and deliver scalable outcomes
- Hands-on experience with job orchestration and infrastructure as code (e.g., Pulumi, Terraform)
- Strong understanding of data modeling principles and architectural patterns such as star schemas and bronze/silver/gold layering
- Comfort mentoring engineers, influencing technical roadmaps, and advocating for best practices
Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes.
The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.
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