Senior Data Platform Engineer

📋 Description

• Design, build, and maintain scalable data and ML pipelines using Python and SQL.
• Operate core Databricks infrastructure, Delta Lake tables, Unity Catalog governance, and workflows.
• Deliver end-to-end ML pipelines: feature engineering, training, experiment tracking, deployment.
• Collaborate with data scientists, analytics, product, and business teams to scale the platform.
• Define data platform standards and ensure reliability, observability, and data trust.

🎯 Requirements

• 6+ years in data engineering, data platform, or ML engineering.
• Proficiency in Python and SQL; production-grade data pipelines experience.
• Deep Databricks expertise: Delta Lake, Unity Catalog, Workflows, PySpark.
• Experience building ML pipelines in production; MLflow or similar tracking tools.
• Cloud experience across AWS, Azure, or GCP; data modeling and analytics-ready architecture.
• Strong data quality, observability, and CI/CD practices for data/ML workflows.

🎁 Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support