Find work in Canada.

553,514 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 day 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 1 day ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Senior Okta Engineer (IAM) - Non-Human & AI Agent Identity
Added 1 day ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
Develop practical solution designs covering applications, AI services, data flows, integrations, identity, security, monitoring, and operational support.
Added 2 days ago
S
Enterprise Sales Engineer - Majors, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone.
Added 2 days ago
MS
Senior Engineer II, Proxy
Menlo Security
Remote, Canada
- Full-time
- Remote
Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without…
Added 2 days ago
S
Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team, you will work across agent runtime, capability and skill design,…
Added 2 days ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without…
Added 2 days ago
O
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic…
Added 2 days ago
O
Staff FullStack Engineer, Secures AI
Okta
Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic…
Added 2 days ago
O
Staff FullStack Engineer, Secures AI
Okta
Kitchener, ON
- $160,000 to $220,000 CAD / year
- Full-time
Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic…
Added 2 days ago
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic…
Added 5 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…aria-setsize="-1"> <p><span xml:lang="EN-US" data-contrast="auto">Shape human agent collaboration:</span><span xml:lang="EN-US" data-contrast="auto"> Work on Copilot and Teams messaging…
Added 5 days ago
M
Staff Software Engineer, AI
Maple
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer, AI to own and ship the next generation of AI-powered healthcare experiences at Maple.
Added 8 days ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Toronto, Ontario, CN
American Express
Toronto, ON
- Full-time
…experiment, and make an impact from day one. As a Master’s-level AI Engineer Intern focused on AI Security Research in Enterprise Technology Services, you’ll join a 16-week Summer…
Added 8 days ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Senior Okta Engineer (IAM) - Non-Human & AI Agent Identity
Added 8 days ago
Senior Okta Engineer (IAM)
Charger Logistics Inc
Brampton, ON
Senior Okta Engineer (IAM) – Non-Human & AI Agent Identity
Added 9 days ago
S
Enterprise Sales Engineer - Majors, Consumer Business Services
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
…makes these essential services faster, more reliable, and more human for everyone who depends on…
Added 9 days ago
E
Information Security Senior Engineer - Identity Governance
Equinix
Toronto, ON
- Full-time
We are seeking a SailPoint IdentityNow Engineer to join the Identity Security team. This role will lead the design, implementation, and operation of modern Identity Governance (IGA)…
Added 10 days ago
I
Senior AI Engineer, ICT
ICAO
Montreal, QC
- Full-time
…Recommended Practices (SARPs) for aviation safety, air navigation, security and environmental protection. To that effect, ICAO is a knowledge-based organization engaged in the development…
Added 10 days ago
Principal AI Architect
Robots and Pencils
Canada
At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for…
Added 12 days ago
SM
IT & Systems Manager (AI-First)
Stichting Mission on Wheels
Calgary, AB
- $90,000 to $115,000 CAD / year
You'll lead our small technical team: our AI and internal tools developer, a contract AI engineer, and the app developers we're hiring now. You'll set the rules for how we build and review…
Added 16 days ago
FE
Frontier Deployed Engineer
Future Electronics
Kirkland, QC
- Full-time
Develop practical solution designs covering applications, AI services, data flows, integrations, identity, security, monitoring, and operational support.
Added 16 days ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
The Technology Workplace Services AI Solutions Engineer identifies, designs, builds, governs, and improves AI-enabled and automated solutions that strengthen TWS service delivery, employee…
Added 16 days ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank
Toronto, ON
- Full-time
The Technology Workplace Services AI Solutions Engineer identifies, designs, builds, governs, and improves AI-enabled and automated solutions that strengthen TWS service delivery, employee…
Added 16 days ago
AI Developer
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Integrate with approved cloud and AI platform capabilities for model access, orchestration, identity, security, observability and deployment without duplicating shared platform ownership.

Univedge Consulting LLC

Databricks Data Platform Engineer

Canada

Contract

Apply About employer

Applications open in a new tab.

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 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

Report this job