Senior Databricks Platform Engineer
Core
Design, develop, and maintain scalable data platforms and pipelines with a strong focus on Databricks to make operational data accessible and secure for analytics and data science.
Role type
Senior Databricks Platform Engineer
Builds
Production-ready data products, governed data platforms, and robust ETL pipelines
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks, Apache Spark, Python, SQL, ETL pipeline design, Infrastructure as Code, data governance, metadata management, data quality, cloud platform architecture
Preferred skills
AWS experience, AWS and/or Databricks certifications
Technologies
Databricks, Spark, Python, SQL, AWS
Responsibilities
Design and implement data governance models, catalogues, and metadata management; build and maintain robust ETL and data pipelines for large-scale operational data; implement and manage Infrastructure as Code solutions for Databricks and related cloud services; drive improvements to the existing Databricks platform setup, architecture, and capabilities; solve complex data and platform challenges; work closely with technical and business stakeholders to translate requirements into scalable solutions
Seniority
Senior, hands-on IC
