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Added 4 days ago
Java MS developer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
● Proven expertise in core Java (java 11+) and Spring framework (Spring boot, Spring mvc/webflux
Added 4 days ago
Java Developer Contract
Millennium Software and Staffing Inc
Montreal, QC
Contract
Hands-on core Java development with responsibilities for the design, implementation, and support of key components of the Market Risk platform.
Added 4 days ago
Lead Java Developer
Bounteous
Montreal, QC
Full-time
Java 8, Kafka, Collections, Multi-threading, problem solving as core skillset with knowledge of databases and design patterns, and some hands-on experience on UNIX. The candidate needs to…
Added 4 days ago
Java Developer
Millennium Software and Staffing Inc
Montreal, QC
Contract
We are looking for a java Developer with core java development experience in a financial services domain specifically in Market Risk or FinTech for one of our client in Montreal, QC.
Added 5 days ago
Spécialiste DevOps / DevOps Specialist (Signature)
Portage CyberTech
Montreal, QC
Full-time
Outils de développement et de qualité du code : Maven, SonarQube et connaissance des microservices Java/Spring Boot
Added 4 days ago
Utility Application Technical Architect
Capgemini Engineering
Vancouver, BC
Full-time
Added 5 days ago
Dotnet Developer
Lorven Technologies Inc.
ON · Ontario, Canada
Contract
Leverage AI developer tools (e.g., GitHub Copilot, Claude, Cursor) effectively to accelerate development and improve engineering output.
Added 5 days ago
Développeur.euse Java Full Stack / Java Full Stack Developer x2 (Signature)
Portage CyberTech
Montreal, QC
Full-time
Portage CyberTech is looking for a passionate Java Full Stack Developer, R&D-oriented, working on modern solutions in a microservices environment. The role involves backend and full stack…
Added 5 days ago
Senior Full-Stack Software Engineer
Manulife
Toronto, ON
Full-time
Build modern user experiences using React and develop scalable backend services using Java, Spring Boot, and Microservices.
Added 5 days ago
Senior Full Stack Developer (Java, Angular)
Royal Bank of Canada
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
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
Tech Consultant - Senior Full-Stack Engineer
NTT DATA North America
Vancouver, BC
Other
Develop scalable backend services using Java/Spring Boot or .NET/.NET Core.
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 5 days ago
Senior Java Software Engineer
Jobility Talent Solutions
Toronto, ON
Contract
We are seeking an experienced Java Developer with a strong background in Capital Markets to join a high-performing eTrading team. The ideal candidate will have extensive hands-on experience…
Added 5 days ago
Full Stack Java Developer
Astek
Montreal, QC
Full-time
Strong working knowledge of core Java and Spring frameworks, including spring-boot, etc.
Added 5 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 5 days ago
IBM MDM Data Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
$70 to $80 CAD / hour
Contract
We are seeking a hands-on IBM MDM Data Engineer to design, build, and operate our core Master Data Management (MDM) platform and real-time data streaming architectures. In this role, you…
Added 1 month ago
Sr. DevSecOps Engineer
Rogers Communications
Brampton, ON · Toronto, ON
Hands-on experiences with Java and/or Python, with proficiency in at least one.
Added 1 month ago
←
Quartz
Open Hall, NL
Full-time
We're looking for a Backend Engineer to help build the core of how Quartz works - the systems that aggregate user data, power Charlie (our AI advisor), and make personalised wealth advice…
Added 6 days ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
As a Senior Software Engineer, you will help design, build, and operate core components of the service while solving complex challenges across distributed systems, database technologies,…
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
Connaissances en programmation en Java et/ou Groovy.
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 6 days ago
Quality Engineer Automation Architect
Royal Bank of Canada
Toronto, ON
Full-time
Experience in a variety of test automation frameworks/tools (Postman, Cucumber, Robot) and script development using scripting languages (Java, Selenium)

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.

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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