Data Engineer

About the Company: 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. The Role You’ll Play: As Data Engineer III 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 Deep expertise in Snowflake (Snowpark, Streams, Tasks, Data Sharing) and strong SQL/dbt fluency Proficient in Python for automation, transformation logic, and data platform development Experience implementing observability standards, anomaly detection, and data quality validation Skilled in managing complex, multi-squad initiatives with a clear track record of driving scalable outcomes Hands-on knowledge of Airflow, Atlan, and infrastructure as code (Pulumi or Terraform) A strong grasp of data modeling principles and architecture patterns like star schema and bronze/silver/gold layering Comfortable mentoring engineers, influencing technical roadmaps, and advocating for best practices  Have we piqued your curiosity? 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. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). 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.