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Pinnacle

Senior Data Warehouse Developer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 4, 2026
Experience: 6+ years of experience in cloud data warehousing, dimensional modeling and data integration solutions.
Posting language: English
Posted: Nov 4, 2026

Original job description

Job Title: Senior Data Warehouse Developer

Reports to: Data Warehouse Technical Lead

About us:

Welcome to Pinnacle, the ultimate destination for sports enthusiasts seeking an exhilarating sportsbook and gaming experience! Established in 1998, we have solidified our position as one of the globe's foremost licensed online gaming companies. With our cutting-edge offerings, we guarantee an electrifying experience that will keep you on the edge of your seat.

Pinnacle invites you to join our team and become an instrumental figure in the exciting realm of sportsbetting. Our vibrant team is fueled by passion and driven by innovation, working together to redefine the landscape of sports betting and gaming. Together, we constantly strive to surpass limitations and deliver unparalleled experiences to sports enthusiasts worldwide. Prepare yourself for a thrilling journey and discover sports in an entirely new dimension with Pinnacle!

Role Overview

As part of the Data Governance team, you will play a strategic and hands-on role in modernizing our enterprise data architecture. This position is critical to migrating our SQL Server data warehouse to Snowflake, while ensuring stability and business continuity for the legacy systems that will remain in production throughout the transition.

As a senior data engineer, you will design, implement, and optimize the full-stack data infrastructure - from Snowflake clusters setup to data ingestion, transformation and report migration. You will drive data governance frameworks aligned with enterprise cataloging, access control, sizing and monitoring Snowflake virtual warehouses.

Key Responsibilities

Build and maintain end-to-end cloud-native pipelines that ingest data into ADLS and Snowflake, orchestrate data load using ADF, and design transformations with curated DBT models.
Setup and maintain DevOps pipelines committing CI/CD-driven deployments.
Apply dimensional modeling and schema design best practices to build performant, well-governed Snowflake marts consumed by BI and analytics, apply SDC Type 2 to support “point-in-time” reporting.
Optimize Snowflake compute (warehouse sizing, clustering, query performance) and dbt model performance (materializations, incremental strategies) for cost-efficient and fast pipelines.
Provide light-touch support for legacy on-premises SQL Server systems only as needed to keep them stable during the transition.
Define and enforce engineering standards for pipeline development: version control, code review, dbt testing, and CI/CD automation across ADF and dbt/Snowflake deployments.
Implement and promote data governance foundations, including data cataloging, lineage tracking, access control, data integrity checks and alerts; and quality monitoring (e.g. Snowflake Horizon, Microsoft Purview).
Work closely with project managers, QA, and other developers; provide support to business users and application developers.

Skills & Qualifications

Strong verbal and written communication skills with the ability to translate business requirements into scalable technical solutions.
Proven analytical, conceptual, and problem-solving skills with a focus on root-cause analysis and continuous improvement.

Knowledge & Experience

6+ years of experience in cloud data warehousing, dimensional modeling and data integration solutions.
Strong production experience with Snowflake - virtual warehouses, Snowflake Scripting/stored procedures, Streams & Tasks, Time Travel, zero-copy cloning, and warehouse/query performance tuning.
Strong hands-on experience with dbt (dbt Core or dbt Cloud) - building and maintaining models, tests, documentation and CI/CD-driven deployments.
Experience with Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF) for cloud-native data ingestion and orchestration.
Proficiency in Azure DevOps CI/CD, version control, and deployment automation.
Familiarity with data governance and cataloging tools - Snowflake Horizon, Microsoft Purview, or comparable third-party catalogs.
Strong SQL skills (ANSI SQL / Snowflake SQL) for building and tuning analytical queries at scale.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

Equal Opportunity Employer

We are an equal opportunity employer dedicated to fostering an inclusive and diverse workplace. We prioritize hiring the best candidates based on their skills and qualifications, irrespective of race, gender, age, religion, or any other characteristic. Our strength lies in our diverse teams, and we proudly celebrate and empower everyone to embrace and promote diversity throughout their time with us.

AI Usage

As part of our recruitment process, Pinnacle may use technology-assisted tools, including AI-based systems, to support the review and assessment of applications. These tools are used to assist our team and do not make final decisions. All screening, interviewing, and hiring decisions are made by our recruitment and hiring team.

Agency Disclaimer

To all recruitment agencies – Pinnacle does not accept agency resumes. Please do not forward resumes to our jobs alias, Pinnacle employees or any other organization location. Pinnacle is not responsible for any fees related to unsolicited resumes.

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More about this job

Responsibilities

Build and optimize cloud-native data pipelines and Snowflake data marts, including ingestion, orchestration, transformations, dimensional modeling, and report migration. Establish engineering and governance standards, tune Snowflake and dbt performance, and provide limited support for legacy SQL Server systems during the migration.

Requirements

Requires 6+ years of experience in cloud data warehousing, dimensional modeling, and data integration, with production expertise in Snowflake, dbt, ADLS, ADF, Azure DevOps, and SQL. A bachelor's or master's degree in computer science, information systems, data engineering, or a related field is specified, along with strong communication, analytical, and problem-solving skills.

Skills

Snowflake
Dbt
Azure Data Lake Storage
Azure Data Factory
Azure DevOps
SQL
Data Warehousing
Dimensional Modeling
Data Integration
Data Pipeline Development
Data Governance
CI/CD
Data Cataloging
Query Performance Tuning
Data Quality Monitoring
Slowly Changing Dimensions Type 2

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Dbt Core
Dbt Cloud
Azure Data Lake Storage
Azure Data Factory
Azure DevOps
SQL Server
Snowflake SQL
ANSI SQL
Data Warehousing
Dimensional Modeling
Data Integration
Data Ingestion
Data Transformation
Data Pipelines
CI/CD
DevOps
Data Governance
Data Cataloging
Data Lineage
Access Control
Microsoft Purview
Snowflake Horizon
Snowflake Streams and Tasks
Snowflake Time Travel
Zero-Copy Cloning
Virtual Warehouse Sizing
Query Performance Tuning
Incremental Models
Slowly Changing Dimensions Type 2

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