Senior Engineering Manager - Snowflake & MLOps

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. 

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.

• Bachelor's degree in Computer Science, Information Technology, or related field 

• At least 8 years of experience in data engineering, with a minimum of 2 years' experience in Snowflake data platform and data warehouse 

• 4 years of experience managing a team of data engineers. 

• Strong knowledge of Snowflake architecture, design, and optimization techniques 

• Experience leading a team of data engineers and managing project timelines 

• Ability to work collaboratively with cross-functional teams and stakeholders 

• Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud. 

• Proficient in SQL, Python, and other programming languages. 

• Excellent communication skills, both written and verbal 

• Familiarity with data security and privacy regulations such as GDPR and CCPA 

• Strong knowledge of AWS services: SageMaker, EC2, S3, Lambda, ECS, IAM, and VPC.
• Experience developing, deploying, and scaling machine learning models in production.

Preferred qualifications: 

• Master's degree in Computer Science, Information Technology, or related field 

• Snowflake Certification(s) 

• Experience with cloud-based data warehousing solutions, such as AWS Redshift or Google BigQuery 

• Familiarity with agile development methodologies 

• Exposure to Snowflake Cortex and Iceberg