Jobs in Canada

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Added 13 days ago
AI
Windows Server Administrator - SCCM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Calgary, AB
- Full-time
Coordinate with the Desktop Support Engineer, Linux Administrator, application owners, and stakeholders.
Added 13 days ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
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 13 days ago
AI
Windows Server Admin
Apptoza Inc.
Calgary, AB
- Contract
· Coordinate with the Desktop Support Engineer, Linux Administrator, application owners, and AltaGas stakeholders.
Added 13 days ago
CL
Sr Cloud Network Engineer
Charger Logistics Inc.
Brampton, ON
- Contract
We're looking for a Sr Cloud Network Engineer to design, build and run the network that connects our cloud platforms, offices and terminals across North America. Our systems run 24/7 to…
Added 13 days ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Senior Okta Engineer (IAM) - Non-Human & AI Agent Identity
Added 13 days ago
SI
Observability Engineer
Siri InfoSolutions, Inc.
Montreal, QC
- Contract
We are seeking an experienced and motivated engineer to join the Observability fleet which focuses on delivering tools in private and public cloud environments. The role focuses on…
Added 13 days ago
PA
Aircraft Certification Authority (ACA) - M2, YTZ
Porter Airlines Inc.
Toronto, ON
- Full-time
Must have a valid M2 AME license
Added 13 days ago
TI
Python Developer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a Python Engineer/Application Developer
Added 13 days ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
Added 13 days ago
AI
Mechanical Design Engineer
Aversan Inc.
Cambridge, ON
- $76,000 to $105,000 CAD / year
- Full-time
Interested applicants must apply directly to Intermediate Mechanical Design Engineer to be considered for this position.
Added 13 days ago
C
Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
The Vice President (VP) / Senior Software Engineer – Technical Remediation & Enablement Lead is a hands-on, code-level technical specialist responsible for driving the direct remediation of…
Added 13 days ago
C
Application Development Engineer (Java) - AVP
Citi
Mississauga, ON
- Full-time
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Added 13 days ago
TT
Machinist Apprentice
The Timken Company
Saskatoon, SK
- Full-time
We engineer solutions that keep the world moving by offering products and services to keep the world’s equipment, machinery, and vehicles in motion. Standard Machine offers the opportunity…
Added 13 days ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
Added 13 days ago
CM
Gas Plant Operator
CSV Midstream Solutions
Grande Prairie, AB
- Full-time
The Gas Plant Operator is expected to work a 7 days on / 7 days off rotational schedule, alternating between days and nights, with 12-hour shifts · - Additional premiums such as 2x overtime, $3.20/hour night shift premium, and an hourly Steam Ticket premium for those with a Steam Ticket
Added 13 days ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 13 days ago
ZS
Windows L3 Admin
Zodiac Solutions, Inc
Montreal, QC
- Full-time
"We are seeking a highly skilled Windows Patching & Software Deployment Engineer with expertise in Windows Server administration, patch management, software deployment, automation, and…
Added 13 days ago
HA
Advanced Manufacturing Engineer I
Honeywell Aerospace
Mississauga, ON
- Full-time
YOU MUST HAVE
Added 13 days ago
A
Fire Protection Engineering New Graduate
AtkinsRéalis
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…consultants, designers, engineers, and project managers, we can engineer a better future for our planet and its…
Added 13 days ago
S
Product Manager - SOTI MobiControl
SOTI
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
Prior experience as a software developer, engineer, solutions architect or similar hands on role is a strong plus.
Added 13 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
We are seeking a highly skilled Software Engineer II to join our team and develop, maintain, and enhance robust solutions involving backend, front end, and API components. This is a…
Added 13 days ago
Operating Engineer
Public Service Delivery
Winnipeg, MB
Must have a 2nd Class Power Engineering Certification Registered with the Province of Manitoba · Must have a valid Manitoba Class 5F driver’s licence
Added 13 days ago
C
Building Operator (Critical Environment)
CBRE
Toronto, ON · Scarborough, ON
- Full-time
…direct access to our Best-in-Class services, including ESG, Security Consulting, Workplace Strategy, and Workplace…
Added 13 days ago
S
Senior Manager – Systems Assurance
SYSTRA
Toronto, ON
- Full-time
Professional Engineer (P.Eng.) status is preferred but is not mandatory because the role does not endorse or approve engineering design outputs.
Added 13 days ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azuer cloud platforms. This role involves working with large datasets, optimizing…

Univedge Consulting LLC

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: Oct 30, 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

Apply on LinkedIn About employer

More about this job

Responsibilities

Own and operate the enterprise Databricks Lakehouse platform, including its architecture, governance, security, automation, reliability, and cost and performance optimization. Build CI/CD and infrastructure-as-code capabilities, enable AI-assisted operations, and collaborate with teams across engineering, security, cloud infrastructure, and finance.

Requirements

Requires 7+ years in data engineering, data platform, or DevOps roles, including 3+ years administering and engineering Databricks in an enterprise environment. Candidates should have deep Databricks and Unity Catalog expertise, experience with Terraform and CI/CD, strong Python and SQL skills, cloud platform experience, and a track record of platform cost optimization and secure data governance.

Skills

Unity Catalog
Terraform
CI/CD
Databricks Asset Bundles
Python
SQL
PySpark
Delta Lake
Spark Performance Tuning
FinOps
Cloud Infrastructure
Data Governance
Platform Security
Agentic AI Workflows
Incident Response

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
Delta Lake
Apache Spark
FinOps
Mosaic AI
Model Context Protocol
LangChain
LangGraph
Lakeflow
Delta Live Tables
Databricks SQL
Model Serving
Vector Search
Azure
AWS
Google Cloud Platform
ADLS Gen2
Amazon S3
SCIM
Data Governance

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Jobs in Canada