Platform Engineer
Core
Design, develop, and maintain scalable data platforms and pipelines with a strong focus on Databricks for an Asset Data organization.
Role type
Senior Platform Engineer (Data Engineering)
Builds
Scalable and reliable data pipelines, governed data products, and production-ready data platforms.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks, Apache Spark, Python, SQL, ETL/Data Pipelines, Infrastructure as Code (IaC), Data Governance, Data Quality, Metadata Management, Cloud Platforms (AWS)
Preferred skills
AWS and/or Databricks certifications
Technologies
Databricks, Spark, AWS, Python, SQL
Responsibilities
Design and implement scalable data platforms and ETL pipelines; Drive improvements to Databricks platform architecture; Implement data governance models and metadata management; Manage Infrastructure as Code for Databricks and cloud services; Collaborate with developers, Data Scientists, and business stakeholders to deliver production-ready data products.
Seniority
Senior, hands-on IC
