Description

You will design, build, and optimize enterprise-scale data platforms using Databricks.

This role is hybrid.

Responsibilities

• Design scalable Databricks Lakehouse architectures for enterprise data solutions.
• Lead technical architecture discussions and provide guidance to engineering teams.
• Define and enforce data governance standards across the platform.
• Optimize data platform performance and manage cloud costs.
• Implement and maintain CI/CD pipelines for data engineering workflows.

Required Skills

• 5+ years of experience in data architecture and engineering.
• Deep expertise in Databricks Lakehouse Architecture.
• Proficiency with cloud platforms: GCP, AWS, and Azure.
• Strong command of Python and SQL.
• Experience with Spark and streaming technologies.
• Hands-on experience with ETL development and data engineering.
• Skilled in implementing CI/CD pipelines.

Preferred Skills

• Experience with multi-cloud data platform strategies.
• Background in defining enterprise data governance frameworks.

Key Skills

Education

Any Gradute