Senior Backend Software Engineer, Data Platform

🕒 January 27

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Mindbody

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

☁️ SaaS

🧘 Wellness

💄 Beauty

💰 $500M Private Equity Round on 2021-10

SaaS • Wellness • Beauty

Mindbody is a leading software provider specializing in solutions for fitness, wellness, and beauty businesses. Their platform offers scalable and flexible tools that help business owners manage classes, appointments, and various services. They provide a comprehensive suite of products including business management software, consumer-facing applications, and a range of integrations to support business growth. Mindbody is dedicated to fostering community through diversity and inclusivity and offers resources for developers, educators, and business owners. With a focus on personalized experiences and data-driven insights, Mindbody aims to enhance the way individuals experience wellness and beauty services.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Equal Opportunity Employer • values diversity