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Next Pathway

Sr. Snowflake Data Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Sr. Snowflake Data Engineer

for

Next Pathway - The Automated Cloud Migration Company

Location: Downtown Toronto, ON (Onsite, Tuesday-Thursday)

Company: Next Pathway

Next Pathway is seeking an experienced Snowflake Data Engineer with experience leading a team, to support a major enterprise client that is building a new cloud data platform on Snowflake.

The ideal candidate combines strong data engineering skills with hands-on Snowflake expertise and a passion for building scalable, high-performance data solutions that drive business value.

Responsibilities

Data Pipeline Development

Experience leading a team
Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data into Snowflake.
Develop ELT/ETL processes to support batch and near real-time data integration requirements.
Integrate data from various enterprise applications, databases, APIs, and cloud-based sources.
Ensure data quality, reliability, and consistency throughout the data lifecycle.

Snowflake Solution Development

Leverage Snowflake-native capabilities to build efficient, scalable, and maintainable data solutions.
Develop and optimize Snowflake objects including databases, schemas, tables, views, tasks, streams, and dynamic tables.
Utilize Snowflake features to support data transformation, orchestration, and performance optimization.
Collaborate with platform engineers to ensure solutions align with governance, security, and operational standards.

Data Mart & Analytics Enablement

Support the design and development of business-focused data marts and semantic data models.
Create curated datasets that enable self-service reporting and analytics.
Partner with business stakeholders, analysts, and data consumers to understand reporting and analytics requirements.
Enable new analytics capabilities through the delivery of high-quality, trusted data assets.

Performance & Optimization

Optimize data models, transformations, and queries for performance and scalability.
Monitor pipeline execution and troubleshoot data processing issues.
Implement best practices for cost management, performance tuning, and operational efficiency within Snowflake.
Contribute to data engineering standards, documentation, and development processes.

Required Qualifications

SnowPro Certification (Core or Advanced).
Experience with Snowflake-native features such as Streams, Tasks, Dynamic Tables, 4+ years of experience in data engineering, data warehousing, or cloud data platform development.
2+ years of hands-on Snowflake development experience.
Strong SQL development and data modeling skills.
Experience building and maintaining enterprise data pipelines and data integration solutions.
Experience developing dimensional models, data marts, and analytics-ready datasets.
Understanding of modern ELT/ETL design patterns and best practices.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Strong problem-solving, troubleshooting, and analytical skills.
Excellent communication skills and ability to work directly with business and technical stakeholders.

Preferred Qualifications

Experience with data orchestration and integration tools.
Familiarity with CI/CD, DevOps, and DataOps practices.
Experience supporting enterprise reporting, analytics, and business intelligence initiatives.
Knowledge of modern data architecture and cloud-native data platform design.

What Success Looks Like

Reliable and scalable data pipelines delivering trusted enterprise data.
Well-designed data marts that support reporting, dashboards, and analytics.
Effective use of Snowflake-native capabilities to maximize platform value.
High-quality, governed datasets available for business consumption.
Delivery of new analytics capabilities that improve business decision-making.

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More about this job

Responsibilities

Lead a team in designing, building, and maintaining scalable data pipelines and Snowflake solutions, including ingestion, transformation, integration, and performance optimization. Develop trusted data marts and analytics-ready datasets, ensure data quality and governance, and collaborate with business and technical stakeholders to support reporting and analytics.

Requirements

Requires a SnowPro Core or Advanced certification, at least four years of data engineering or data platform experience, and at least two years of hands-on Snowflake development. Candidates should have strong SQL and data modeling skills, enterprise pipeline experience, cloud platform familiarity, and effective communication and troubleshooting abilities.

Skills

Snowflake
SQL
Data Engineering
Data Pipeline Development
ETL/ELT
Data Modeling
Data Warehousing
Snowflake Streams
Snowflake Tasks
Dynamic Tables
Data Marts
Cloud Platforms
Performance Optimization
Data Quality
Team Leadership
SnowPro Certification

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
SnowPro Certification
SQL
Data Engineering
Data Warehousing
Cloud Data Platform
Data Pipelines
ETL
ELT
Snowflake Streams
Snowflake Tasks
Dynamic Tables
Data Integration
Data Modeling
Dimensional Modeling
Data Marts
Semantic Data Models
AWS
Azure
Google Cloud
Data Orchestration
CI/CD
DevOps
DataOps
Business Intelligence
Performance Tuning
Data Governance
Batch Processing
Near Real-Time Integration
Team Leadership

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