
Senior Backend Software Engineer, Data Platform
Mindbody
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- 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
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringsoftware engineeringplatform architecturemodern data warehousingSQLdbtPythondata modelinganomaly detectiondata quality validation
Soft Skills
collaborationmentoringinfluencingadvocating for best practicesmanaging complex initiatives