Designation : Manager
Level : L4
Location : Atlanta, Georgia , United States
Experience : 10 to 15 years
Job Role :
Lead the design and implementation of scalable, secure, and high-performance Databricks Lakehouse platforms across cloud environments. Define enterprise data architecture, modernization strategies, and best practices for data engineering, analytics, AI/ML, and governance. Collaborate with business and technical stakeholders to translate requirements into scalable platform solutions. Drive cloud migration and platform optimization initiatives while ensuring alignment with enterprise architecture standards. Provide technical leadership and guidance throughout the project lifecycle.
Responsibilities :
Design and implement enterprise-scale Databricks Lakehouse architectures and platform capabilities.
Define architecture standards for data ingestion, transformation, governance, security, and performance optimization.
Lead cloud migration and data modernization initiatives leveraging Databricks on Azure.
Enable AI/ML, MLOps, and Enterprise AI solutions using Databricks native services and best practices.
Mentor engineering teams, perform architecture reviews, and collaborate with stakeholders to ensure successful project delivery.
Lead and coordinate offshore delivery teams, ensuring effective collaboration, timely execution, and adherence to project quality, schedule, and architectural standards.
Required skills :
Databricks Platform Architect specializing in Lakehouse Architecture, Data Engineering, MLOps, Enterprise AI, Unity Catalog, Delta Lake, and Multi-Cloud (Azure, AWS, GCP) implementations.
