Senior Data Engineer (Databricks)
Core
Design and deliver end-to-end lakehouse data platforms and pipelines for clients to run their business and AI, combining hands-on engineering with advisory.
Role type
Senior Data Engineer (Databricks)
Builds
Modern data platforms (lakehouse architectures), batch and streaming pipelines, governed data products, and semantic layers.
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models
Required skills
Python, SQL, Spark, Databricks, Data Modeling, DataOps, Cloud Platforms (Azure/AWS/GCP), Infrastructure as Code, CI/CD
Preferred skills
dbt, MLOps, Legacy Warehouse Migration, Consulting/Advisory
Technologies
Databricks, Python, Spark, SQL, Terraform, Git, Azure, AWS, GCP
Responsibilities
Design end-to-end lakehouse architectures on Databricks; Engineer batch and streaming pipelines with data quality; Migrate legacy warehouses and ETL to the cloud; Create governed data products and semantic layers for AI; Implement data governance, CI/CD, and cost control; Advise clients on data roadmaps and coach junior engineers.
Seniority
Senior, hands-on IC