Description

Design and architect scalable enterprise data platforms using Databricks, leading cloud modernization initiatives across Azure, AWS, or GCP.

This role is on-site.

Responsibilities

• Build and optimize Lakehouse architectures using Apache Spark and Delta Lake.
• Implement Infrastructure as Code (IaC) using Terraform, Bicep, ARM, or similar tools.
• Develop secure, high-performance data solutions for analytics and AI/ML workloads.
• Establish best practices for data governance, security, and platform reliability.
• Collaborate with engineering teams and business stakeholders to deliver enterprise solutions.

Required Skills

• 5+ years of experience in enterprise data architecture and data engineering.
• Deep expertise with Databricks, Apache Spark, and Delta Lake.
• Strong proficiency in Python for data engineering and automation.
• Hands-on experience with cloud platforms (Azure, AWS, or GCP).
• Practical knowledge of Infrastructure as Code tools like Terraform, Bicep, or ARM.
• Experience with Azure Data Factory (ADF) for data integration.
• Familiarity with Unity Catalog for data governance.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree