Description

Design and architect enterprise-grade Databricks and Lakehouse solutions, leading data architecture, ingestion, transformation, and integration initiatives.

This role is hybrid.

Responsibilities

• Design data pipelines using Azure and AWS cloud services integrated with Databricks.
• Implement data governance, security, performance optimization, and best practices.
• Lead technical architecture for enterprise-grade Lakehouse solutions.
• Mentor data engineering teams and provide technical leadership.
• Collaborate with business and technical teams to define requirements and deliver scalable solutions.

Required Skills

• 8+ years of data engineering or architecture experience.
• Strong hands-on experience with Databricks and Apache Spark.
• Proficiency in PySpark and SQL.
• Experience with Delta Lake and Unity Catalog.
• Ability to design pipelines using Azure and AWS cloud services.
• Excellent stakeholder management and communication skills.

Preferred Skills

• Experience defining requirements for complex data integration initiatives.

Key Skills

Education

Any Graduate