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Added 4 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
Design scalable batch, streaming, and real-time data systems supporting structured and unstructured data.
Added 5 days ago
Machine Learning Engineer
ALS
Montreal, QC
Full-time
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 5 days ago
Senior DevOps/SRE Engineer
Credit Genie
Toronto, ON
Full-time
…customer-facing features, but we need you to think like a software engineer when you design platform, tooling, and…
Added 5 days ago
AI Engineer
Cognizant
Toronto, ON
Full-time
Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
Added 5 days ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking an experienced Data Engineer to build and operate the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will design and own…
Added 5 days ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…ground up? The Amazon AI Security team is looking for a Security Engineer to design security controls and validate that our AI and machine learning (ML) services, applications, and emerging…
Added 5 days ago
Computer Vision Engineer
SearchLabs
Mississauga, ON
$200,000 to $250,000 CAD / year
Full-time
Design, develop, and productionize advanced computer vision and multimodal AI systems.
Added 5 days ago
Machine Learning Engineer
Manulife
Toronto, ON
Full-time
As a Machine Learning Engineer, you will design, build, and operate the platforms, pipelines, and reusable patterns that take models from experimentation to production at scale. You will…
Added 5 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Apply knowledge of power systems, electromagnetic theory, and circuit design to validate and verify AI/ML model outputs, ensuring results are physically meaningful and aligned with…
Added 5 days ago
Manager, Software Engineering
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
Full-time
…configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 5 days ago
Manager, Software Engineering
AltaML
Calgary, AB
Full-time
…configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 5 days ago
Manager, Software Engineering
AltaML
Edmonton, AB
Full-time
…configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people…
Added 5 days ago
Senior Full-Stack Engineer, Internal Applications
Cohere
Remote, Canada
$215,000 to $310,000 CAD / year
Full-time · Remote
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…
Added 5 days ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
We’re looking for a GenAI Engineer who's already taken GenAI from concept to production on Databricks. Joining our GenAI practice means you’ll design and deploy solutions that work in the…
Added 5 days ago
Senior Software Engineer
Questrade Financial Group
Toronto, ON
The Senior Software Engineer leads the technical design and delivery of complex features and distributed services. This role is responsible for setting engineering standards, mentoring…
Added 5 days ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection…
Added 5 days ago
Senior Engineer (Platform)
Later
Vancouver, BC
The Senior Engineer is responsible for driving large-scale projects, delivering impactful features, and maintaining high engineering standards. You’ll solve complex problems, collaborate…
Added 5 days ago
Software Engineer, Commercial Software
Waabi
Toronto, ON
$149,000 to $220,000 CAD / year
Full-time
…commercial team to build automated integrations with our customers' systems, and collaborate with design to create polished, seamless…
Added 5 days ago
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
Full-time
…the Canadian market. We are seeking a Senior Forward Deployed Engineer who will work directly with customers, owning delivery strategy and…
Added 6 days ago
NPU Diagnostics Software Engineer
Advanced Micro Devices, Inc
Markham, ON
Full-time
…Accelerated Processing Units (APUs). In this role you will design and develop diagnostics that validate NPU hardware design and features at the system level, from pre-silicon through…
Added 5 days ago
Senior Frontend Engineer (Tech Lead)
Meltwater
Toronto, ON
Full-time
…with UI leadership to define and execute initiatives spanning design systems, application performance, and frontend architecture. You care deeply about UI quality and craftsmanship, holding…
Added 6 days ago
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
Full-time
Software Engineering & Programming: Expertise in Python, and knowledge of databases, scripting, Unix systems, data structures, and networking.
Added 5 days ago
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 3 months ago
Software QA Engineer
maru.ai
Engineer, BC
Full-time
We are looking for a detail-oriented Software QA Engineer to join our fast-growing AI/ML startup. In this role, you will help ensure the quality of our AI/ML products by designing and…
Added 3 months ago
Software Engineer
maru.ai
Engineer, BC
Full-time
Develop and maintain backend systems and architecture using Go and Python

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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