Databricks Architect
Skills
Azure DatabricksApache SparkPythonSQLScalaAzure Data FactoryApache Kafka
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong experience with Databricks platform
- Expertise in Apache Spark Spark SQL and distributed computing
- Programming experience in Python Scala or SQL
- Experience with data lakes and lakehouse architectures
- Strong experience with cloud data platforms such as Microsoft Azure
- Strong experience with cloud data platforms such as Google Cloud Platform
Nice to have
- Architectural thinking
- Platform optimization mindset
- Analytics domain knowledge
- Collaborative approach
- Problem-solving ability
Day to day
- Design and implement modern data platforms using Databricks Lakehouse architecture.
- Define enterprise data architecture data models and governance frameworks for analytics platforms.
- Architect scalable batch and real-time pipelines and optimize Spark workloads cluster configurations and query performance.
- Develop ETL and ELT pipelines using Spark Python SQL and cloud ingestion tools while enabling ML pipelines and feature engineering.
