Find work in Canada.

547,906 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 30 mins ago
PC
Chief Mine Engineer
Paladin Canada
Saskatoon, SK
- Full-time
…Canada's most significant new uranium developments as Chief Mine Engineer - Underground…
Added 46 mins ago
Q
FY27 Intern - Camera Systems Internship - Canada (16 months)
Qualcomm
Vancouver, BC
- Full-time
Apply embedded systems expertise to the research, design, development, integration, verification, and debugging of camera systems and firmware, including support for image-processing…
Added 2 hours ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 2 hours ago
TU
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Temporary
A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.
Added 2 hours ago
MC
Program Chief Engineer – Spacecraft Satellite Systems (35863)
Myticas Consulting
Canada
- Full-time
Program Chief Engineer – Spacecraft / Satellite Systems
Added 2 hours ago
PC
Application Release Engineer
Pyramid Consulting, Inc
Toronto, ON
- Contract
Immediate need for a talented Application Release Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Toronto - ON (Hybrid). Please review the job…
Added 2 hours ago
L
Oracle Fusion Financial Engineer - Subscriptions, Billing & Revenue
Lime
Remote, Canada
- $102,000 to $143,000 CAD / year
- Full-time
- Remote
Boundary System Integration: Coordinate with the integrations team and help monitor data flow between Oracle Fusion and surrounding platforms including middleware, source commerce and order…
Added 3 hours ago
Sr Manager or Principal Engineer for Firmware Development - 19315
Synopsys
Markham, ON
You have built a career in firmware at the boundary between hardware, software, and analog. You bring deep expertise in developing product features and customer-specific enhancements, also…
Added 4 hours ago
FA
Technical Sales Engineer - General Industry
FANUC America Corporation
Blainville, QC
- $93,000 to $138,000 CAD / year
- Full-time
Minimum three+ years of experience in industrial automation, robotics, manufacturing, machine building, systems integration, or technical sales.
Added 4 hours ago
L
Senior Software Engineer – AI Agents
lululemon
Vancouver, BC
- Full-time
As a Senior Software Engineer – AI Agents, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing…
Added 4 hours ago
OG
Intermediate Software Engineer - Onni Capital
Onni Group of Companies
Vancouver, BC
- Full-time
There is an exciting opportunity for an Intermediate Software Engineer to join Onni Capital in Vancouver.
Added 4 hours ago
W
Senior Salesforce Developer
Webflow
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Salesforce Developer to help Webflow scale our go-to-market systems with quality, scalability, and strong governance. You’ll design and build the Salesforce, CPQ,…
Added 4 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 4 hours ago
L
Staff Software Engineer - Checkout and Post Purchase Web Experiences
lululemon
Vancouver, BC
- Full-time
As a Staff Software Engineer responsible for lower-funnel experiences you’ll establish strategic engineering standards and architectural patterns adopted across the organization including…
Added 4 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking a Senior QA Engineer III with strong hands-on test automation and banking/financial services experience to support complex enterprise applications and integration…
Added 4 hours ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Coherent Optical Systems Engineer to contribute to the design, development, characterization, and optimization of advanced coherent optical transceivers based on…
Added 4 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Develop and optimize SQL queries to extract, transform and analyze data from multiple systems.
Added 5 hours ago
A
Firmware Engineer
Actalent
Montreal, QC
- $45 to $60 CAD / hour
- Contract
Effectuer, au besoin, des tests et validations au niveau des cartes électroniques afin dassurer une intégration fiable firmwarematériel.
Added 5 hours ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 5 hours ago
A
Test Engineer
Actalent
Quebec, QC
- $40 to $58 CAD / hour
- Contract
The V&V Engineer is responsible for planning, executing, documenting, and reporting verification and validation activities for medical devices and associated software systems. You will work…
Added 5 hours ago
T
Cyber Security Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
- Full-time
Cyber Security Engineers test and implement cyber security solutions, build automation and integration solutions between cyber security tooling, and provide expert guidance on cyber…
Added 5 hours ago
NM
Reliability Engineering
Natus Medical Incorporated
Oakville, ON
- Full-time
This is a highly collaborative, technically influential role spanning mechanical, electrical, firmware, software, and integrated systems. You'll partner closely with Engineering,…
Added 5 hours ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work…
Added 6 hours ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 6 hours ago
M
Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
This is a hybrid role in our Montreal office, three or four days a week. As a Software Engineer, you'll work on the core infrastructure behind Runneth: the VM it runs on and the services…

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