Jobs in Canada

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Added 5 days ago
J
Staff Machine Learning Engineer, Sensors & Intelligence
Jobgether
Canada
- Full-time
…applications. Combining foundational research with real-world product development, you will influence scientific direction, publish impactful work, and collaborate with engineering teams to…
Added 5 days ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 5 days ago
A
Support Systems Engineer - NAMER
Ashby
Canada
- Full-time
That’s why we’re searching for a Support Systems Engineer to become the long-term owner of our Support systems.
Added 5 days ago
A
Supplier Quality Engineer
Actalent
Vancouver, BC
- $45 to $52 CAD / hour
- Contract
The Supplier Quality Engineer will be responsible for ensuring externally supplied components and assemblies meet engineering, quality, and manufacturing requirements. This individual will…
Added 5 days ago
A
Junior Mechanical Test Engineer
Actalent
Vancouver, BC
- $28 to $33 CAD / hour
- Contract
This is a fully on-site engineering position within a product development and manufacturing environment. The Mechanical Test Engineer will work closely with mechanical engineering, quality,…
Added 5 days ago
A
Manufacturing Engineer
Actalent
Vancouver, BC
- $50 to $57 CAD / hour
- Full-time
This position combines New Product Introduction (NPI), process development, capacity planning, production optimization, and hands-on shop-floor support, while providing technical leadership…
Added 5 days ago
C
Specialist Product Management
CPKC
Calgary, AB
- Full-time
…accountability, and pride. With opportunities for training, development, and advancement, you’re not just building a career - you’re part of something bigger. Together, we move goods,…
Added 5 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 6 days ago
SE
Software Engineer
SmartSource Electronics
Mississauga, ON
- Full-time
Role Description This is a full-time, on-site Software Engineer role based in Mississauga, ON. The Software Engineer will design, develop, and maintain backend services and internal tools…
Added 6 days ago
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Principal Process Engineer - Power Projects
Fluor
Calgary, AB
- Full-time
The Principal Process Engineer – Power Projects provides process and thermal-cycle engineering leadership for gas-turbine-based simple-cycle, combined-cycle, and cogeneration projects,…
Added 6 days ago
ST
Value Optimization Engineer
SEGULA Technologies
Windsor, ON
- Contract
Experience in automotive engineering, value engineering, cost optimization, design release, benchmarking, or product development.
Added 6 days ago
CC
Bilingual Technical Pre-Sales Consultant-Hybrid
Canon Canada
Quebec, QC
- $71,300 to $82,000 CAD / year
- Full-time
…centers on conducting deep-dive discovery and needs analysis to engineer scalable, high-impact solution architectures that optimize document…
Added 6 days ago
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Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 6 days ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 6 days ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a Senior QA Automation Engineer who plays a critical role in upholding the quality standards of our software delivery lifecycle. This position is responsible for…
Added 6 days ago
1
Product Builder / Senior Product Engineer - AI Products
15Rock
Toronto, ON
- Full-time
The Product Builder owns a product problem from the first client conversation to working software in the client's hands. You find the problem worth solving, decide what to build, and build…
Added 6 days ago
BT
Senior Director, Technical Development Lead, Device
BlueRock Therapeutics
Toronto, ON
- Full-time
Act as a core leader for combination product development, ensuring strategic alignment across various technical areas.
Added 6 days ago
BT
Director, Supply Chain
BlueRock Therapeutics
Toronto, ON
- Full-time
…chain strategy and operations in support of research, process development, clinical manufacturing, and clinical trial execution. As a key member of the Cell Therapy Product Supply…
Added 6 days ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 6 days ago
M365 Architect
EY
Toronto, ON
To qualify for the role, you must have
Added 6 days ago
C
Senior Advisor, Product Line Management, Maintenance & Managed Services
Ciena
Canada
- Full-time
The Must Haves
Added 6 days ago
FA
Vice President, Quality Control
FTAI Aviation
Montreal, QC
- Full-time
…Organization (AMO). This leader owns the airworthiness of every product released by the AMO and is accountable to the Head of FTAI Canada (Accountable Executive) for ensuring that all…
Added 6 days ago
X
Senior Geotechnical Applications Engineer
Xerxes
AB · Edmonton, AB
- Full-time
As a Senior Geotechnical Applications Engineer with Xerxes, you will be a key technical resource supporting the application, installation, and field performance of underground storage tank…
Added 6 days ago
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Global Methods Engineer - Machining
Safran
Mirabel, QC
- Full-time
Day shift, Monday to Friday, 38 hours per week
Added 6 days ago
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Full Stack Engineer, Storefront
Pepper
Remote, Canada
- $149,000 to $164,000 CAD / year
- Full-time
- Remote
As an engineer on the Storefront team, you'll work on Pepper's flagship product: the e-commerce system distributors run their business on and their customers order through every day. Tens…

Brillio

Senior Databricks Data Platform Engineer

Canada

Contract

Apply on LinkedIn About employer

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Job details

Job type: Contract
Experience: 7+ years of experience in data engineering, data platform, or DevOps roles, including 3+ years administering and engineering Databricks in an enterprise environment
Posting language: English
Posted: Nov 4, 2026

Original job description

Role Overview

As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first role: rather than building individual business pipelines, you will build the foundation that every data engineer, analyst, and data scientist depends on, including workspaces, compute, Unity Catalog governance, deployment pipelines, and the guardrails that keep the platform secure, reliable, and cost-efficient.

You will treat the platform as a product. That means codifying infrastructure and configuration, delivering changes through fully automated CI/CD, introducing agentic AI workflows that reduce manual operational effort, and continuously driving down compute and storage cost while improving performance. You will combine deep hands-on Databricks expertise with a FinOps and DevOps mindset, and you will measure your success in platform reliability, developer productivity, and dollars saved.

This is a highly collaborative role. You will partner with data engineering, data science, security, cloud infrastructure, and finance teams to set platform standards, guide adoption of new Databricks capabilities, and mentor engineers across the organization.

About the role

Databricks Platform Engineering & Administration

Own the architecture, configuration, and lifecycle of client's Databricks environments across development, test, and production, including workspaces, account-level settings, networking, and identity integration
Administer and evolve Unity Catalog, including metastores, catalogs, schemas, external locations, storage credentials, and fine-grained access controls
Design and enforce compute strategy across all-purpose clusters, job clusters, serverless compute, SQL warehouses, instance pools, and cluster policies
Manage platform upgrades, Databricks Runtime adoption, feature previews, and deprecations with minimal disruption to consuming teams
Build reusable platform templates, starter projects, and self-service capabilities that let engineering teams onboard quickly and consistently

CI/CD & Platform Automation

Design, build, and maintain CI/CD pipelines for Databricks code and configuration using Databricks Asset Bundles, Git folders, and Azure DevOps or GitHub Actions
Codify platform infrastructure with Terraform (Databricks and cloud providers), ensuring every workspace, cluster policy, permission, and Unity Catalog object is version-controlled and reproducible
Implement automated testing, code quality gates, security scanning, and promotion workflows from development through production
Establish branching, release, and rollback standards for notebooks, jobs, Delta Live Tables / Lakeflow pipelines, and ML assets
Automate routine administration such as user and group provisioning (SCIM), secret management, token rotation, and environment drift detection

Agentic Workflows & AI-Enabled Operations

Design and deploy agentic workflows that automate platform operations, such as job failure triage, root-cause analysis, cost anomaly investigation, and remediation recommendations
Build AI agents and tools on Databricks (Mosaic AI Agent Framework, Model Serving, Vector Search) and integrate them with enterprise systems through Model Context Protocol (MCP)
Use Copilot and Anthropic models to accelerate infrastructure-as-code, pipeline development, code review, and documentation
Establish guardrails, evaluation, observability, and human-in-the-loop controls so agentic automation is safe, auditable, and trusted
Partner with data science and engineering teams to provide a governed platform foundation for GenAI, RAG, and ML workloads

Platform Cost Optimization (FinOps)

Own Databricks cost visibility and accountability using system tables (billing, usage, compute, and query history), tagging standards, and chargeback or showback reporting
Identify and deliver savings through cluster right-sizing, auto-termination, autoscaling tuning, spot and reserved capacity strategies, Photon and serverless evaluation, and workload consolidation
Enforce cost guardrails through cluster policies, budget alerts, and compute governance that prevent waste without slowing teams down
Build dashboards and automated alerts that surface cost anomalies, idle resources, and optimization opportunities to engineering and finance stakeholders
Partner with finance and procurement on DBU commitments, forecasting, and capacity planning

Storage & Performance Optimization

Define and enforce Delta Lake storage standards, including file sizing, liquid clustering, Z-ordering, partitioning strategy, and deletion vectors
Automate table maintenance using predictive optimization, OPTIMIZE, VACUUM, and retention policies to control storage growth and improve query performance
Manage cloud object storage (ADLS Gen2 / S3) layout, lifecycle and tiering policies, and data retention aligned with business and compliance requirements
Tune Spark and SQL workloads by analyzing query profiles, shuffle, skew, caching, and Photon usage to improve speed and reduce cost
Identify and remediate small-file problems, orphaned data, unused tables, and redundant copies across the Lakehouse

Governance, Security & Compliance

Implement secure-by-default platform controls, including private networking, IP access lists, encryption, secrets management, and least-privilege access
Ensure auditable data access and lineage through Unity Catalog, audit logs, and system tables, with appropriate handling of PII and regulatory requirements
Apply data classification, row- and column-level security, and data masking standards across catalogs
Partner with security and compliance teams on platform reviews, vulnerability remediation, and audit evidence

Reliability & Operational Excellence

Define platform SLOs and build monitoring, alerting, and observability for jobs, clusters, warehouses, and pipelines
Lead incident response, root-cause analysis, and post-incident improvements for platform issues, and participate in on-call rotations
Create clear runbooks, standards, and platform documentation that enable self-service and reduce support load
Continuously evaluate new Databricks and cloud capabilities and lead proofs of concept that improve the platform
Mentor engineers, run enablement sessions, and champion platform best practices across McAfee

About you

You are a hands-on platform engineer who thinks in terms of automation, reliability, and unit economics. You enjoy building the systems that make other engineers productive, you are not satisfied until a manual process is codified, and you can explain the cost and performance impact of a platform decision to both engineers and business leaders.

Required Qualifications

7+ years of experience in data engineering, data platform, or DevOps roles, including 3+ years administering and engineering Databricks in an enterprise environment
Deep expertise in Databricks platform administration, including Unity Catalog, workspace and account configuration, cluster policies, SQL warehouses, and Databricks Workflows
Proven experience building CI/CD for data platforms using Databricks Asset Bundles, Terraform, and Azure DevOps, GitHub Actions, or a similar tool
Demonstrated track record of reducing platform cost through compute right-sizing, policy enforcement, and usage analytics, with measurable results
Strong knowledge of Delta Lake internals and storage optimization, including file compaction, clustering, partitioning, and table maintenance
Strong programming skills in Python and SQL, with working knowledge of PySpark and Spark performance tuning
Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including networking, identity, and object storage
Experience securing platforms that handle sensitive data, including PII, with attention to compliance and governance

Preferred Qualifications

Experience building agentic or GenAI workflows using Mosaic AI, LangChain, LangGraph, or similar frameworks
Practical knowledge of Model Context Protocol (MCP) to connect enterprise applications and automate platform workflows
Familiarity with Copilot and Anthropic models to enhance development speed, code quality, and documentation
Databricks certifications such as Data Engineer Professional or Platform Administrator
Experience with Databricks system tables, Lakehouse Monitoring, and building FinOps dashboards
Familiarity with Lakeflow / Delta Live Tables, Databricks SQL, Model Serving, and MLOps practices
Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
Experience migrating workloads from legacy platforms (Hadoop, Snowflake, or on-premises warehouses) to Databricks

Personal Attributes

Automation-first mindset, with a habit of eliminating toil and codifying repeatable work
Cost-conscious and data-driven, consistently tying platform decisions to measurable business value
Strong ownership and accountability for platform reliability and the experience of the teams who depend on it
Excellent communication skills, with the ability to influence standards across technical and non-technical stakeholders
Proactive problem-solver with strong analytical and troubleshooting skills
Passionate about emerging technologies, especially in AI, automation, and the Lakehouse ecosystem
Committed to mentoring and knowledge-sharing that elevates the wider engineering team

Why Join Us

This role offers the opportunity to shape the Databricks platform that powers data and AI. You will work with the latest Lakehouse and agentic AI capabilities, see the direct impact of your work on cost, reliability, and developer productivity, and help build the foundation that enables McAfee to protect millions of users worldwide. Join us in creating the next generation of data platforms that will power continued innovation and growth.

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More about this job

Responsibilities

Own and operate the enterprise Databricks Lakehouse platform, including its architecture, governance, security, automation, reliability, and CI/CD. Improve platform cost and performance, develop AI-enabled operational workflows, and partner with teams across engineering, security, finance, and data science to establish standards and enable adoption.

Requirements

Requires 7+ years in data engineering, data platform, or DevOps roles, including 3+ years administering and engineering Databricks in an enterprise environment. Candidates need strong Databricks, Unity Catalog, Terraform, CI/CD, Delta Lake, Python, SQL, cloud, cost optimization, and sensitive-data security experience.

Skills

Unity Catalog
Terraform
CI/CD
Databricks Asset Bundles
Azure DevOps
GitHub Actions
Python
SQL
PySpark
Spark Performance Tuning
Delta Lake Optimization
FinOps
Cloud Networking and Identity
Agentic AI Workflows
Data Governance and Security

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Lakehouse
Unity Catalog
Terraform
Databricks Asset Bundles
Azure DevOps
GitHub Actions
CI/CD
Python
SQL
PySpark
Apache Spark
Delta Lake
FinOps
Mosaic AI Agent Framework
Model Context Protocol
Model Serving
Vector Search
Anthropic Models
Copilot
Lakeflow
Delta Live Tables
Lakehouse Monitoring
Azure
AWS
GCP
ADLS Gen2
S3
SCIM
Docker

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Work requirements

Jobs in Canada