Senior Data Engineer - Snowflake

Best Buy Canada

1d•$105,000 - $115,000•Remote

About The Position

Do you have a passion for all things data and a drive to lead and mentor others? As a senior data engineer (Snowflake), you will architect, build, and optimize advanced data solutions, while leading projects and growing the capabilities of our data engineering team. You’ll work directly with stakeholders to understand business needs, coordinate resources, and deliver impactful analytics solutions. We practice a remote first working model, leveraging in person interactions at our head office, in beautiful Vancouver, BC, for strategic, collaborative, and social purposes. Make a difference on our team as a senior data engineer (Snowflake)! About Best Buy As Canada's destination for the coolest tech, Best Buy offers one of the best work environments in the country! Our culture is one of inclusivity and belonging and provides employees an environment where they can bring their whole selves to work. We believe in a fair and inclusive hiring process. We encourage you to apply even if you may not meet all the requirements. Join our amazing team! We are looking for people just like you. Best Buy Canada is one of Canada’s largest and most successful retailers, operating the Best Buy, Best Buy Mobile, and Geek Squad brands. We offer consumers a unique shopping experience with the latest technology and entertainment products, plus an expanded assortment of lifestyle products offered online at the right prices. Recognized as a 2023 winner of Canada’s Top 100 Employers, we received top marks in everyone from our work atmosphere and employee engagement to our phenomenal training and skills development programs. When you’re part of our team, you’ll get amazing discounts and promotional pricing on everything from TVs and refrigerators to luggage and furniture. You’ll get a sneak peek at the newest gadgets before they hit the market! Employment opportunities are available nationwide, including our Canadian Headquarters (CHQ) on the west coast, our two distribution centres, and 150+ retail store locations. We believe we have the unique opportunity to help customers enrich their lives and pursue their passions with the help of technology

Requirements

5+ years in data and analytics engineering with expertise in Spark, Python, Snowflake, and DBT
Proven experience leading projects and supervising teams in data engineering
Strong knowledge of cloud data warehouse architecture (Snowflake, Azure)
Track record of mentoring and developing data engineers
Advanced ETL/ELT expertise, including complex data movements, rollback strategies, and performance tuning
Hands-on experience with orchestration tools (Airflow, Azure Data Factory, Dagster)
Proficiency in automated testing, CI/CD pipelines, and data quality frameworks
Exposure to data governance, security strategies (masking, encryption), and diverse data sources (Oracle, APIs, SFTP)
Excellent stakeholder management and cross-functional collaboration
Strong data modeling skills (dimensional modeling, CDC, SCDs)

Nice To Haves

Familiarity with BI tools (Power BI, Tableau) is a plus

Responsibilities

Architect, design and optimize scalable data pipelines and analytics platforms using Spark, Python, Snowflake, and DBT
Lead end-to-end data engineering projects, ensuring quality delivery and effective resource management
Translate business requirements into technical solutions; collaborate with BI teams using Power BI and Tableau
Mentor data engineers and promote best practices for performance, scalability, and governance
Develop and automate ETL/ELT workflows with Airflow, Azure Data Factory, Databricks; implement CI/CD and testing for data quality
Apply advanced data modeling (dimensional, CDC, SCD), profiling, validation, and lineage tracking to ensure robust governance