Senior Manager of Data Engineering - Snowflake Practice

Blend360; Toronto; Remote; CAD 100,000 - 140,000; Full time

Job summary

A data consultancy is looking for a Senior Data Engineering Manager to lead their data engineering team. This role involves overseeing Snowflake data warehouse initiatives, team management, and collaboration with cross-functional teams. Candidates should have over 8 years of experience in data engineering, with expertise in Snowflake and team leadership skills. A Bachelor’s degree in Computer Science or a related field is required. The position offers a competitive salary and a collaborative work environment.

Benefits

Competitive salary

Comprehensive benefits

Collaborative work environment

Qualifications

• 8+ years of experience in data engineering, with a minimum of 2 years in Snowflake.
• 4+ years of experience managing a team of data engineers.
• Strong understanding of Snowflake architecture and optimization techniques.

Responsibilities

• Lead the data engineering team in Snowflake data warehouse development.
• Collaborate with teams to ensure data accuracy in pipelines.
• Develop best practices for Snowflake architecture and ETL processes.

Skills

Snowflake expertise

Team management

Data architecture knowledge

SQL proficiency

Python programming

Cloud platform familiarity

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Job description

Overview

THIS IS A CONTRACT TO HIRE OPPORTUNITY! We are seeking an experienced Senior Data Engineering Manager with strong expertise in Snowflake 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 teams 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

Qualifications

• Bachelors 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

Preferred Qualifications

• Masters 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

Additional Information

If you meet the qualifications and are excited about the opportunity to lead our data engineering team we encourage you to apply for this position. We offer a competitive salary comprehensive benefits and a collaborative work environment that values innovation and continuous learning.

Remote Work: Employment Type: Full-time

Key Skills

Practice Management,Veterinary Experience,Enterprise Architecture,Office Manager Experience,Enterprise Software,Healthcare Management,IaaS,TOGAF,Medical office experience,Conflict Management,COBIT,Customer relationship management

Experience: years

Vacancy: 1