Senior Engineering Manager - Snowflake & MLOps

We are seeking an experienced Senior Engineering Manager with strong expertise in Snowflake and MLOps to lead our data engineering team. The ideal candidate will have a solid understanding of Snowflake architecture, design, implementation, and optimization to drive our data warehouse initiatives. The Data Engineering Manager will be responsible for overseeing the day-to-day operations of the team, managing and mentoring team members, and ensuring the successful delivery of data engineering projects. 

Responsibilities: 

• Lead the data engineering team in the design, development, and maintenance of our Snowflake data warehouse 

• Collaborate with cross-functional teams to identify data requirements and ensure the accuracy and completeness of data pipelines 

• Develop and implement best practices for Snowflake architecture, data modeling, and ETL processes 

• Work with data analysts and business stakeholders to understand their needs and translate them into technical requirements 

• Manage the team's resources, including hiring, training, and performance management 

• Continuously evaluate and improve our data engineering processes, tools, and technologies 

• Ensure compliance with data security and privacy regulations 

• Deploy, monitor, and maintain ML models in production using AWS SageMaker, Lambda, ECS, and related services.
• Build and maintain automated ML pipelines for data processing, model training, evaluation, and deployment.