Databricks Architect

• Design and architect scalable data platforms using Databricks and Apache Spark.
• Lead end-to-end implementation of data lakes, lakehouse, and analytics solutions.
• Define data engineering, security, and governance best practices.
• Collaborate with data engineers, data scientists, and business stakeholders.
• Optimize performance, cost, and reliability of Databricks workloads.

Requirements

• Strong hands-on experience with Databricks, Spark, and Delta Lake.
• Proficiency in Python/Scala and SQL for big data processing.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of data architecture, ETL/ELT, and data modeling.
• Excellent communication and solution-design skills.

• Strong hands-on experience with Databricks, Spark, and Delta Lake.
• Proficiency in Python/Scala and SQL for big data processing.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Solid understanding of data architecture, ETL/ELT, and data modeling.
• Excellent communication and solution-design skills.