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Senior Data Engineer (Snowflake)

Apply Digital · Toronto

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Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Fit summary

Strong fit if you own senior data platform work—Snowflake modeling, pipelines, and documented architectures—and can partner with product/tech stakeholders. Toronto location with remote flexibility; company-specific culture data is not available here.

Day in the role

As a Senior Data Engineer (Snowflake) at Applydigital, a typical day centers on modeling and building warehouse pipelines: designing scalable, secure Snowflake structures, documenting architectures, and aligning with architects and analysts on product requirements. Expect work on data models, views/metadata, transfer patterns, and performance-minded access paths rather than pure app feature code.

Skills to emphasize

Pair these with Snowflake SQL, ELT patterns, and data modeling practice for this title.

FAQ from this listing

Is this role remote?

The listing flags remote (remote=1) with Toronto as the location base—confirm hybrid or fully remote expectations with the recruiter.

What does the work emphasize?

Senior data engineering on Snowflake: architecture, models, scalable secure design, and cross-team requirements—not generalist software only.

Where can I skill up cheaply?

Use the free and free-to-learn paths listed above, then add hands-on Snowflake and warehouse modeling projects.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

O*NET source

Role overview (listing rewrite)

Senior Data Engineer (Snowflake) at Applydigital - Toronto, Full Time Remote Role Overview Applydigital is seeking a Senior Data Engineer to join our team in Toronto. As part of the Agentic Customer Experience (ACx) partner for leading consumer and entertainment brands, you will play a crucial role in designing and delivering agentic solutions that drive commercial success. Your Responsibilities Design and implement data pipelines using Snowflake technology Develop and maintain ETL processes to ensure seamless data flow Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Optimize data storage and retrieval for performance and efficiency Ensure data quality through rigorous validation and testing procedures Document all processes, procedures, and systems for easy maintenance and scalability Requirements Minimum of 5 years of experience as a Data Engineer or related role Expertise in Snowflake technology and its best practices Strong understanding of ETL processes and data warehousing concepts Familiarity with SQL, Python, and other scripting languages for data manipulation Experience working in a hybrid/remote environment preferred Ability to work effectively in a fast-paced, dynamic team setting Excellent problem-solving skills and attention to detail Why Join Applydigital At Applydigital, you will have the opportunity to work with some of the world's most ambitious consumer and entertainment brands. Our hybrid/remote-friendly environment allows for flexibility while ensuring alignment with Eastern Timezone or Pacific Timezone working hours. As a Senior Data Engineer, you will be part of a team that values innovation, collaboration, and continuous improvement. Next Steps To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. We look forward to hearing from you!

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Questions to ask them

Generated for personal interview prep · 2026-08-02 UTC · getajob.ai