Cloud Data Warehouse Engineer

Job Title : Senior Cloud Data Warehouse Engineer

Location : Montreal, QC (Hybrid – 3 days onsite every week)

Employment : Full-time opportunity

Experience : 5+ years

About VLink : Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.

Job Description :

We are looking for an experienced Cloud Data Warehouse Engineer to become a key member of our vibrant Data Warehouse team. In this role, the candidate will be essential in developing our next-generation data platform, which consolidates, sources, and manages data from multiple technology systems across the organization. This platform will enable sophisticated reporting and analytics solutions, specifically designed to support the Technology Risk functions. The candidate focus will be on building and refining our Cloud Data Warehouse using Snowflake and Python-based tools. The candidate's expertise will help create reliable data models, utilizing Snowflake features such as data sharing, time travel, Snow Park, workload management, and the ingestion of both structured and unstructured data. Additionally, the candidate will work on integrating Snowflake with internal platforms for purposes like data quality management, cataloging, discovery, and real-time monitoring. By collaborating closely with data engineers, analysts, ETL developers, infrastructure teams, and business stakeholders, the candidate will help develop a high-performance, scalable data environment that supports advanced analytics and AI initiatives.

Responsibilities :

• Design, develop, and manage scalable Snowflake data warehouse solutions.
• Establish and promote best practices for efficient Snowflake usage, integrating tools like Airflow, DBT, and Spark.
• Assist in testing and deploying data pipelines using standard frameworks and CI / CD processes.
• Monitor, tune, and optimize query performance and data loads.
• Support QA & UAT processes to confirm data integrity and troubleshoot issues.
• Collaborate with cross-functional teams to ensure seamless integration of data solutions.
• Contribute to documentation, data governance, and operational procedures to sustain system health and security.

Requirements :

Preferred, but not required :

Contact : D : (289) 633-4046

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

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