Senior Engineering Manager - Snowflake & MLOps - Remote

Overview

We are seeking an experienced Senior Engineering Manager with strong expertise in Snowflake and MLOps to lead our data engineering team, overseeing operations and ensuring successful project delivery.

In Short

• 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 data pipeline accuracy.
• Develop and implement best practices for Snowflake architecture and ETL processes.
• Work with data analysts and stakeholders to translate needs into technical requirements.
• Manage team resources, including hiring and performance management.
• Continuously evaluate and improve data engineering processes and tools.
• Ensure compliance with data security and privacy regulations.
• Deploy, monitor, and maintain ML models using AWS services.
• Build and maintain automated ML pipelines for data processing and model deployment.

Requirements

• Bachelor's degree in Computer Science or related field.
• At least 8 years in data engineering, with 2 years in Snowflake.
• 4 years managing a team of data engineers.
• Strong knowledge of Snowflake architecture and optimization.
• Experience in managing project timelines.
• Ability to work collaboratively with teams and stakeholders.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Proficient in SQL, Python, and other programming languages.
• Excellent written and verbal communication skills.
• Familiarity with GDPR and CCPA regulations.

Benefits

• Opportunity to work with Fortune 500 clients.
• Continuous learning and professional development.
• Collaborative and innovative work environment.
• Competitive salary and benefits package.