Senior Platform Engineer (Databricks)
Core
Design, develop, and maintain scalable data platforms and pipelines on Databricks to enable large-scale analytics, data science, and machine learning initiatives.
Role type
Senior Platform Engineer (Databricks)
Builds
Scalable data platforms, ETL/data pipelines, data governance models, and automated platform environments.
Domain
Data Engineering / Cloud Platforms / Data Governance
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks, Apache Spark, Python, SQL, Infrastructure as Code (Terraform), ETL pipeline design, data governance, metadata management, data quality, cloud platforms (AWS)
Preferred skills
AWS certifications, Databricks certifications, Unity Catalog, Delta Lake, DevOps, CI/CD
Technologies
Databricks, Apache Spark, AWS, Terraform, Unity Catalog, Delta Lake
Responsibilities
Design and implement data governance models and metadata management solutions; Implement and manage Infrastructure as Code (IaC) solutions for Databricks and cloud environments; Develop and maintain robust ETL and data pipelines for large-scale operational data; Ensure high standards for data quality, security, compliance, and data discoverability; Drive improvements to platform architecture, setup, and capabilities.
Seniority
Senior, hands-on IC
