About the Company
Our client is a leading Canadian energy organization with a strong presence across Ontario. They operate critical infrastructure that supports millions of customers and drives economic growth.

Why Work Here
Our client is engaging in ongoing transformation and investing in cutting-edge technologies and modernizing operations to meet the evolving needs of the energy sector. By joining, you will be part of an organization that values collaboration, professional development, and making a meaningful impact on the future of clean energy.

About the Opportunity

• Architect, design, and oversee implementation of modular and scalable ELT/ETL pipelines and infrastructure.
• Design curated, business centric data models that provide a single source of truth for reporting and analytics.
• Collaborate with infrastructure and security teams to ensure data protection in transit and at rest.
• Establish and enforce code templates for pipeline delivery across structured, semi-structured, and unstructured datasets.
• Develop modeling guidelines for facts, dimensions, aggregates, and slowly changing dimensions.
• Optimize join performance and extensibility across multi-domain physical and semantic models.
• Transform data into semantic layers that align with business language and usability.
• Partner with analysts, scientists, engineers, and architects to deliver pipelines feeding enterprise data marketplaces.
• Introduce new technologies through research and proof-of-concepts, preparing production-ready designs.
• Work with Microsoft Azure tools including Data Factory, Data Lake, SQL Databases, Synapse, Databricks, Purview, and Power BI.
• Contribute within agile SCRUM frameworks, supporting backlog development and iterative delivery.
• Document architecture and designs, ensuring clarity and traceability.
• Design solutions for batch, near-real-time, event-driven, and streaming data requirements.
• Ensure orchestration of pipeline execution meets latency expectations and dependency management.
• Approve production deployments and provide Tier 3 support for troubleshooting.
• Guide teams in building models optimized for KPIs, operational feedback, and machine learning predictability.

• Bachelor’s degree in computer science, Software Engineering, or a related field (advanced education in data engineering, AI, or ML is an asset).
• 6–8 years of experience in data modeling, data warehouse design, and solution architecture in Big Data environments.
• Proven expertise in designing data models to solve business problems and specifying pipeline design patterns.
• Experience guiding data lake ingestion and modeling projects in cloud environments (Azure and Databricks).
• Strong background in relational and in-memory modeling, including star and snowflake schemas.
• Experience designing event-driven, near-real-time, or streaming data solutions across structured and unstructured sources.
• Advanced knowledge of data pipeline optimization, low-latency processing, and creation of common data models.
• Strong analytical and problem-solving skills, with a focus on scalability, performance, and maintainability.
Excellent communication and leadership skills, with the ability to mentor and influence cross-discipline teams.

Pay Range
$87.58 - $97.58/hr

How to Apply
Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats.
When referencing this job, quote #480608.

You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role.

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.