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Lead the design and deployment of AI solutions focusing on Data Engineering, Generative AI, and Agentic AI while collaborating with clients and guiding junior engineers.

Lead architectural design and delivery of advanced data solutions, focusing on Generative and Agentic AI, ensuring client satisfaction and team efficiency.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Responsible for deploying, validating, and improving machine learning solutions, building data pipelines, and collaborating with teams to ensure business value.

The Databricks Architect is responsible for designing and implementing scalable data solutions, optimizing performance, and leading initiatives within a dynamic team environment.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

Responsible for deploying and improving MLE solutions, building production data pipelines, and writing scalable machine learning systems while collaborating with teams to drive strategy and communicate results.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Responsible for designing and implementing scalable solutions on Azure, focusing on UAM architecture, security analysis, and Azure AD integration.