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Jobs in Canada

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Added 1 month ago
Senior Appian Developer
The Hospital for Sick Children
Toronto, ON
Full-time
Research IT (RIT) is a specialized function within the SickKids Research Institute that enables and accelerates research through the delivery of advanced technology platforms, research…
Added 6 days ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 4 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Data based in Canada .
Added 6 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
Full-time
…talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of…
Added 6 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 11 days ago
Staff AI Architect/Engineer
RBC
Toronto, ON
Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 19 days ago
Finance Data Steward - Senior Data Quality & Governance Engineer,
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
Full-time
Finance Data Steward, Senior Data Quality & Governance Engineer
Added 23 days ago
Senior Fullstack Product Engineer II
Docebo
Toronto, ON
$123,400 to $164,500 CAD / year
Full-time
Next-Level Ambition: Active aspiration and progress toward a Staff Engineer or formal technical leadership trajectory.
Added 13 days ago
Senior Product Engineer II - Fullstack
Docebo
Remote, Canada
$123,400 to $164,500 CAD / year
Full-time · Remote
As the Senior Product Engineer II, you bring expert-level proficiency across backend and frontend development with the ability to design, build, and evolve complete features from data and…
Added 8 days ago
Staff Engineer (Platform)
Later
Vancouver, BC
We are seeking a Staff Engineer with a strong background in modern web development technologies and a passion for building high-quality, distributed applications within our Platform’s…
Added 26 days ago
Senior Project Manager (Facilities-Large Capital)
Region of Waterloo
Kitchener, ON
Supervises staff in a project management matrix framework. Assigns projects and tasks to staff based on resource requirements and other considerations. Supervises a Project…
Added 25 days ago
Lead Quality Engineer
Zafin
Toronto, ON
Lead QA Engineer will own and build Zafin AIOS's QA practice from the ground up - not just execute within an existing framework. This is a foundational hire: you'll define the standards,…
Added 8 days ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 1 month ago
Lead Analytics Engineer
Innodata Inc.
Canada
$130,000 to $150,000 CAD / year
Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 1 month ago
Clinical Systems & Digital Implementation Lead
The Fertility Partners
Toronto, ON
Full-time
Technical literacy you are not an engineer, but you can hold a conversation with one. You understand integrations, data flows, and system dependencies well enough to escalate the right…
Added 1 month ago
Clinical Systems & Digital Implementation Lea
The Fertility Partners Inc
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Technical literacy you are not an engineer, but you can hold a conversation with one. You understand integrations, data flows, and system dependencies well enough to escalate the right…
Added 1 month ago
Staff Engineer, Infrastructure Solutions
EQ Bank
Toronto, ON
Full-time
The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…
Added 11 days ago
Mission Engineer - Vancouver, British Columbia
Axon
BC
Building is the job. You will use Axon's platform - AI Era, agents, workflows, integrations, and data tools - to design, build, and ship new capabilities on site. You own outcomes end to…
Added 8 days ago
Manager, Building Maintenance and Operations
Law Society of Ontario
Toronto, ON
Full-time
Professional Engineer, LEED AP, and/or IFMA designations with facilities management experience implementing / managing BOMA certification program(s) is desirable.
Added 3 months ago
Staff Design Engineer, Canada
Ashby
Canada
Full-time
This role truly expects you to design and code. Design Engineer at Ashby isn’t just a Frontend Engineer with new branding, nor is it a Designer vibe coding prototypes. Combining excellence…
Added 9 days ago
Manager, Building Maintenance and Operations
Law Society of Ontario
Toronto, ON
Professional Engineer, LEED AP, and/or IFMA designations with facilities management experience implementing / managing BOMA certification program(s) is desirable.
Added 2 months ago
Senior Staff Cloud Security Engineer | Operational Technology | Office of CISO
ServiceNow
Edmonton, Alberta · Alberta, CANADA
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 9 days ago
Distinguished Engineer, AI Threat Defense
Thomson Reuters
Toronto, ON
Full-time
Experience operating as a Principal, Staff, Distinguished Engineer, or equivalent senior technical leader within a large, complex organization.
Added 10 days ago
Director, Developer Experience, Simplii Technology
Simplii Financial
Toronto, ON
Full-time
Team Building and Talent Development – Recruit, mentor, and grow a founding team of senior and staff-level engineers, scaling the function to approximately twelve members within eighteen…
Added 10 days ago
Director, Developer Experience, Simplii Technology
CIBC
Toronto, ON
Full-time
Team Building and Talent Development – Recruit, mentor, and grow a founding team of senior and staff-level engineers, scaling the function to approximately twelve members within eighteen…

Jobgether

Senior Staff Software Engineer, Data

Canada

Pay: U.S. base salary range of $235,000–$285,000 USD, with actual compensation determined by experience, skills, location, and applicable local pay requirements.
Job type: Full-time
Experience: 15+ years of experience in data engineering, analytics engineering, or data platform roles.
Posting language: English
Posted: Sep 15, 2026

Apply About employer

Applications open in a new tab.

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Data based in Canada .

This is a senior technical leadership role focused on transforming a data engineering and analytics function into a modern, scalable, product-oriented Data Platform organization.

You will define the architecture, operating model, technical standards, and execution roadmap needed to deliver reliable, governed, self-service data across the organization.

The role combines deep hands-on engineering with strategic leadership, including system design, prototyping, production coding, architecture reviews, and technical mentoring.

You will modernize data infrastructure across batch, streaming, real-time analytics, semantic layers, and AI/ML enablement.

A major focus will be building AI-ready data capabilities, including agent-readable semantic layers, vector stores, retrieval systems, and RAG-ready architectures.

You will partner closely with engineering, product, analytics, business, and executive stakeholders to connect data strategy with measurable business outcomes.

Success means building a resilient and trusted platform while elevating engineering practices, team capabilities, governance, and the broader data-driven culture.

Accountabilities

Define and own the end-to-end architecture strategy for data, analytics, and the Data Platform.
Design scalable batch, streaming, and real-time data systems supporting structured and unstructured data.
Establish standards for data modeling, semantic layers, reporting, governance, lineage, metadata, and data quality.
Lead architecture reviews, technical decision-making, and adoption of modern approaches such as lakehouse, data mesh, and real-time analytics.
Design and prototype critical platform components while writing production-quality code for complex and high-impact areas.
Review schemas, transformations, dashboards, analytics models, and technical implementations while troubleshooting performance and reliability issues.
Build AI-ready data infrastructure, including vector stores, embedding pipelines, retrieval systems, and RAG-ready architectures with strong lineage, governance, security, and observability.
Develop a “Data for Agents” strategy that provides semantic layers and metadata enabling LLMs and AI agents to navigate enterprise data accurately.
Create curated data products and reusable APIs that make trusted datasets accessible to applications, analytics platforms, and AI agents.
Enable self-service data access through standardized models, semantic layers, and reusable platform capabilities.
Partner with AI, product, and engineering teams on training datasets, feature stores, production inference pipelines, and agentic ETL/ELT workflows.
Ensure platform reliability, scalability, resilience, high availability, monitoring, and disaster recovery readiness.
Partner with product, finance, business operations, and leadership teams to define analytics requirements and deliver trustworthy, performant insights.
Establish data governance, privacy, compliance, role-based access controls, auditability, validation processes, and quality frameworks.
Define SLAs and SLOs for data availability, freshness, and accuracy while establishing monitoring, alerting, and incident response processes.
Optimize cloud costs, query performance, latency, concurrency, and capacity planning as data volumes grow.
Mentor senior engineers, analytics engineers, and data scientists while partnering across product, ML, platform, and business teams.
Translate business questions into scalable data solutions and influence roadmaps through strong data platform and analytics expertise.
Serve as the senior technical authority for data and analytics while promoting pragmatic AI adoption and outcome-driven innovation.

Requirements

Advanced degree in Computer Science, Engineering, or a related field.
15+ years of experience in data engineering, analytics engineering, or data platform roles.
Proven experience architecting large-scale data and analytics systems in cloud environments.
Strong hands-on expertise with modern data stacks and cloud data services across AWS, Azure, or GCP.
Deep knowledge of analytics data modeling, including dimensional modeling, star and snowflake schemas, Data Vault, and related approaches.
Advanced SQL skills and proficiency in Python, Scala, or Java.
Advanced expertise in semantic layers and dimensional modeling, including technologies such as dbt or Cube, with the ability to provide agent-readable data context.
Expertise with real-time streaming frameworks such as Spark, Flink, or Beam, combined with a strong understanding of batch and real-time architectures.
Experience building reporting and business intelligence solutions at scale using tools such as Looker, Tableau, or Power BI.
Strong understanding of data governance, security, privacy, lineage, metadata, and access-control best practices.
Ability to operate effectively at both deeply technical and executive levels, with strong communication, collaboration, and leadership skills.
Experience supporting AI/ML pipelines and feature engineering is a plus.
Familiarity with real-time analytics, event-driven architectures, semantic layers, metrics stores, experimentation platforms, or product analytics is a plus.
Experience working in high-growth SaaS or data-intensive organizations is also advantageous.

Benefits

U.S. base salary range of $235,000–$285,000 USD, with actual compensation determined by experience, skills, location, and applicable local pay requirements.
Equity and a variety of additional benefits.
Health, dental, and vision coverage for employees and their families.
Life insurance and mental wellness coverage.
Fertility and growing family support.
Flex Time Off in addition to company-paid holidays.
Paid family leave, medical leave, and bereavement leave.
Retirement savings plans.
Allowance to customize your home work and technology setup.
Annual professional development stipend.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Lead the transformation of data engineering and analytics into a modern, scalable Data Platform organization. Define the end-to-end architecture strategy and build AI-ready data capabilities including vector stores and RAG-ready architectures.

Requirements

Requires an advanced degree and over 15 years of experience in data engineering or platform roles. Must have deep expertise in cloud data services, dimensional modeling, and real-time streaming frameworks.

Skills

Data Architecture
Python
SQL
Scala
Java
AWS
Azure
GCP
dbt
Cube
Spark
Flink
Beam
Looker
Tableau
Power BI

Benefits

Equity
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Mental Wellness Coverage
Fertility and Growing Family Support
Flex Time Off
Paid Family Leave
Medical Leave
Bereavement Leave
Retirement Savings Plans
Home Office and Technology Setup Allowance
Annual Professional Development Stipend

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
Lakehouse
Data Mesh
Semantic Layer
RAG
Vector Stores
LLM
AI Agents
ETL
ELT
Dimensional Modeling
Star Schema
Snowflake Schema
Data Vault
Real-time Analytics
Streaming
Data Governance
Data Lineage
Metadata
SaaS
Feature Stores
Inference Pipelines
SLAs
SLOs
Cloud Computing
Observability
Data Quality
API Design
Batch Processing
Event-driven Architecture

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