Jobs in Canada

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Added 4 days ago
Senior Java Technical Lead
Net2Source (N2S)
Toronto, ON
Contract
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Java Full stack, Python, Spring Boot, Angular, AWS, REST API
Added 4 days ago
Software Developer - Full Stack - Senior (Java exp)
Bevertec
Toronto, ON
Contract
Job Role: Software Developer - Full Stack - Senior (Java exp)
Added 4 days ago
Software Developer Full Stack Senior
TechDoQuest
Toronto, ON
Contract
We are seeking a Senior Full Stack Java Developer with strong experience in Java, Spring Boot, Angular, Azure, and RESTful APIs. The candidate should have experience developing solutions…
Added 4 days ago
Java Full Stack AI Developer
LanceSoft, Inc.
Montreal, QC
$70 to $75 CAD / hour
Contract
We are seeking an experienced Java Full Stack Developer with strong expertise in Java, Spring Boot, Angular, Microservices, REST APIs, and AI/GenAI technologies. The ideal candidate will…
Added 4 days ago
Lead Web Solutions Developer, Cloud Support, Tools and Automation (English)
Google
Waterloo, ON
Experience with programming in one of the following: Java, Python, GoLang, or TypeScript/JavaScript.
Added 4 days ago
Senior Dotnet Developer
Lorven Technologies Inc.
Mississauga, ON
Contract
Leverage AI developer tools (e.g., GitHub Copilot, Claude, Cursor) effectively to accelerate development and improve engineering output.
Added 4 days ago
Senior Java Technical Lead
Net2Source (N2S)
Toronto, ON
Contract
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Java Full stack, Python, Spring Boot, Angular, AWS, REST API
Added 4 days ago
Lead Backend Developer
Yochana
Brampton, ON
Full-time
We are seeking a proficient 8 to 15 Years of Java Backend Senior Developer in Java Spring Boot.
Added 5 days ago
Senior Full Stack Developer (Java, Angular)
RBC
Mississauga, ON
Full-time
This position is a senior Java Application Full-Stack developer (TSA-Technical Systems Analyst) working to develop new and extend existing applications in the RBC Insurance Digital…
Added 4 days ago
Full Stack Java Developer
Astek
Montreal, QC
Full-time
We are looking for a Senior developer, preferably with exposure to Cloud Architectures & Public Cloud offerings, to join our team building a resilient, scalable, and secure cloud-based…
Added 4 days ago
Senior Java Software Engineer
TSR Consulting
Mississauga, ON
Contract
TSR Consulting is currently seeking a highly motivated Java Full Stack/ Java Backend Developer for an opportunity in Mississauga, ON Hybrid
Added 4 days ago
Senior Java Fullstack Developer
TSR Consulting
Mississauga, ON
Contract
TSR Consulting is currently seeking a highly motivated Senior Java Fullstack Developer for an opportunity in Mississauga, ON
Added 4 days ago
Lead Java Developer
TSR Consulting
Mississauga, ON
Contract
Java (11+ preferred), Spring Boot, Spring Cloud
Added 4 days ago
Angular Java Full Stack Developer
Tata Consultancy Services
Canada
Full-time
…experience, demonstrate working knowledge of both Angular and Java, and experience in at least three of the following four skill…
Added 4 days ago
Integration Development Lead
Cloud SynApps Inc.
Mississauga, ON
Contract
· Strong hands-on background in Apache Camel (DSL - Java or XML), Spring Boot, and microservices deployment patterns on OpenShift/Red Hat
Added 1 month ago
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Quartz
Open Hall, NL
Full-time
Owning features end-to-end - from API design through to production rollout and observability
Added 6 days ago
Sr. Software Engineer, AVP II
State Street
Toronto, ON
Full-time
Develop, test, debug, and implement software programs, applications, and services using Java, C#, SQL, React, or other related software engineering technologies.
Added 5 days ago
Développeur(euse) Java
Astek
Montreal, QC
Full-time
Concevoir, développer et maintenir des applications Java robustes, évolutives et performantes, en environnement d'entreprise
Added 6 days ago
Stagiaire Développeur de Logiciels
Ericsson
Montreal, QC
Full-time
Stagiaire Développeur de Logiciels - Software Developer Intern
Added 6 days ago
Stagiaire Développeur de Logiciels
Ericsson
Montreal, QC
Full-time
…l'évolution des produits réseau 5G, notamment dans le domaine des API réseau et de l'« exposition ». Alors que nous aidons les prestataires de services dans leur transition vers des…
Added 6 days ago
Stagiaire Développeur de Logiciels
Ericsson
Montreal, QC
Full-time
Stagiaire Développeur de Logiciels - Software Developer Intern
Added 5 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
Advanced SQL skills and proficiency in Python, Scala, or Java.
Added 5 days ago
Lead Développeur Java Spring Boot (Senior)
SII Canada
Montreal, QC
Full-time
…conception, au développement et à l'évolution de solutions Java d'entreprise tout en contribuant aux orientations techniques et à l'amélioration continue des pratiques de…
Added 6 days ago
Sr Developer, High Value Payments Engineering
Royal Bank of Canada
Toronto, ON
Full-time
As part of a major payment modernization initiative, Royal Bank of Canada is seeking a senior developer to actively to contribute to the evolution and modernization for our next-generation…
Added 6 days ago
Sr Developer, High Value Payments Engineering
RBC
Toronto, ON
Full-time
As part of a major payment modernization initiative, Royal Bank of Canada is seeking a senior developer to actively to contribute to the evolution and modernization for our next-generation…

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

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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.

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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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