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Senior Backend Software Engineer, Data Platform (Remote)

icon building Company : Mindbody
icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

Number of Applicants

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Job Description - Senior Backend Software Engineer, Data Platform (Remote)

The Role You’ll Play: 

As a Senior Software 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

  • 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


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