Jobs in Canada

Save this search

Added 4 months ago
Software Engineering Co-op
Acceldata
Kitchener, Ontario
Internship
Collaborate with the engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 10 days ago
Financial Reporting Developer
LanceSoft, Inc.
Montreal, QC
Contract
3+ years software development experience in Scala/Spark (Java)
Added 11 days ago
Senior Data Engineer (Hadoop Migration)
Capgemini
Toronto, ON
Programming experience in at least two of the following languages: Scala, Java or Python
Added 3 months ago
Full-Stack Software Developer
Engineered Intelligence Inc.
Mississauga, Ontario
Full-time
The Position: Do our values align with you? Are you an experienced Full-Stack Software Developer looking to join a dedicated team working together to build rewarding careers and an…
Added 4 months ago
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
Internship
Collaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Added 4 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 2 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
Added 2 days ago
Data Engineer
EPITEC
Toronto, ON
Contract
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 2 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 3 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 3 days ago
Scala Developer
Pacer Group
Toronto, ON
$60 to $65 CAD / hour
Contract
Job Title: Java Developer with Spark and Scala
Added 3 days ago
Spark and Scala Developer
Confiar Services
Toronto, ON
$55 to $60 CAD / hour
Contract
Job Title: Spark with Scala Developer (Java Background)
Added 4 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
Royal Bank of Canada
Toronto, ON
Full-time
Programming Languages: Python, Scala, Java, SQL, etc.
Added 3 days ago
Big Data Developer
Cogency
Toronto, ON
Full-time
Job Title: Big Data Developer – Spark, AWS, Airflow & Snowflake
Added 4 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
RBC
Toronto, ON
Full-time
Programming Languages: Python, Scala, Java, SQL, etc.
Added 4 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
Machine Learning Engineer
Manulife
Toronto, ON
Full-time
…experience in ML frameworks and libraries. Experience with Java or Scala for model serving and JVM-based pipelines is an asset, as is familiarity with GenAI tooling such as LangChain,…
Added 5 days ago
Gen AI Developer
Galent
Halifax, NS
Contract
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 6 days ago
Gen AI Developer
J&M Group
Halifax, NS
Full-time
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 11 days ago
Software Engineer II, Machine Learning - Slack
Global Gainsight Admins Community
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 1 month ago
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$180,000 to $210,000 CAD / year
Full-time
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus
Added 1 month ago
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.

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

Report this job