Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 11 days ago
EM
Process Engineer - SMT Support
Evertz Microsystems Limited
Burlington, ON
- Full-time
The Process Engineer - SMT Support is responsible for developing, optimizing, and sustaining surface mount technology (SMT) manufacturing processes used in the production of broadcast and…
Added 11 days ago
N
Senior Mixed Signal Design Engineer
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle! We are looking for…
Added 11 days ago
C&
Embedded Software Engineer
Communications & Power Industries (CPI)
Georgetown, ON
- Full-time
…employees to develop, create and deliver innovative, reliable technology solutions to power, connect, protect, and support a better…
Added 11 days ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Location: Toronto, ON (Hybrid, 3 days per week)
Added 11 days ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Location: Toronto, ON (Hybrid, 3 days per week)
Added 11 days ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
Location: Toronto, ON (Hybrid, 3 days per week)
Added 11 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 11 days ago
EC
Project Engineer
Eastern Construction Company Limited
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Project Engineer, you will provide specific services such as lines, levels, surveys, monitoring requirements, quantity take-offs and material ordering. Assists Superintendent to plan,…
Added 11 days ago
QT
Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $70 to $90 CAD / hour
- Contract
Position: Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)
Added 11 days ago
S
Semiconductor EDA/CAD/IT Engineer
StarIC
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Join Our Innovative Team: Semiconductor EDA / CAD / IT Engineer
Added 11 days ago
RI
Plant Manager
Recochem Inc.
Nisku, AB
- Full-time
We engineer leading fluid solutions that keep the world moving and we’re building a better future while we do it. As a vertically integrated global powerhouse, we operate 17 manufacturing…
Added 11 days ago
R
Cyber Security Engineer
Remitra
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…money transfer solutions. We’re looking for a Cybersecurity Engineer to join the security department within our IT team and help protect our applications, infrastructure and customer…
Added 11 days ago
S
Senior IC Digital Design Engineer
StarIC
Toronto, ON
- Full-time
At StarIC, we’re not just building circuits; we’re shaping the future of technology. As a Toronto-based semiconductor design company, we thrive on creativity, collaboration, and pushing the…
Added 11 days ago
S
DevOps Engineer
Synechron
Montreal, QC
- Full-time
We began life in 2001 as a small, self-funded team of technology specialists. Since then, we’ve grown our organization to 17,000 people, across 58 offices, in 22 countries, in key global…
Added 11 days ago
N
Senior Staff Software Engineer - Money Boxes
Nubank
Toronto, ON
- Full-time
2 days per week at the office
Added 11 days ago
L
QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
…whether that’s in how we build, how we communicate, or how we support each…
Added 11 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 11 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 11 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 11 days ago
BC
Lead Electrical Engineer
Bantrel Co.
Edmonton, AB
- Full-time
We are currently seeking a qualified Lead Electrical Engineer to join our Energy team, based out of Edmonton, AB. This is a leadership opportunity for an experienced engineer who enjoys…
Added 11 days ago
Plant Manager
PFX Group
Nisku, AB
We engineer leading fluid solutions that keep the world moving and we’re building a better future while we do it. As a vertically integrated global powerhouse, we operate 17 manufacturing…
Added 11 days ago
B
Associate Software Engineer
BlackLine
Toronto, ON
- Full-time
As an Associate Software Engineer, you will play a crucial role in delivering high quality releases to our customers by designing, developing, troubleshooting, maintaining, optimizing and…
Added 11 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 11 days ago
S
Senior Quality Assurance Engineer
StafinGo
Toronto, ON
- $60 to $75 CAD / hour
- Contract
StafinGo is seeking an experienced Senior Quality Assurance (QA) Specialist to support a digital health initiative focused on modernizing cancer screening communications across Ontario.
Added 11 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…

Univedge Consulting LLC

Databricks Data Platform Engineer

Canada

Contract

Apply on LinkedIn 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 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

Report this job

Work requirements

Jobs in Canada