Find work in Canada.

596,707 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 33 mins ago
MA
Actuarial Analyst – 2026 & 2027 New Grads - Montreal
Marsh Agency
Montreal, QC
- Full-time
…the office. The below listed teams are looking for Actuarial Analyst (2026 & 2027 New…
Added 2 hours ago
MA
Marsh People and Investment - Compensation Consulting Analyst - Ottawa- 2027 New Grads
Marsh Agency
Ottawa, ON
- Full-time
As a Compensation Analyst in the Workforce and Rewards practice, you will work with a broad range of clients and industries in a stimulating environment, participating as an integral member…
Added 2 hours ago
MA
Marsh People and Investment - Compensation Consulting Analyst - Toronto - 2027 New Grads
Marsh Agency
Toronto, ON
- Full-time
As a Compensation Analyst in the Workforce and Rewards practice, you will work with a broad range of clients and industries in a stimulating environment, participating as an integral member…
Added 2 hours ago
MA
Senior H&B Consulting Analyst
Marsh Agency
Calgary, AB
- Full-time
We are currently looking for a Senior Health & Benefits (H&B) Consultant Analyst to join our team. This hybrid role requires working at least three days a week in our Calgary office.
Added 9 hours ago
C
Analyste d’affaires – Services bancaires aux entreprises
CGI
Montreal, QC
- Full-time
CGI Montréal is looking for a Business Analyst to analyze and improve commercial banking processes, particularly in the areas of lending, credit origination, and cash management. In this…
Added 10 hours ago
NE
Sales Operations Analyst
Nexus Energy
Toronto, ON
- Contract
Support the evaluation and communication of applicable incentive programs, grants, and tax credits.
Added 12 hours ago
B
Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
…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…
Added 13 hours ago
PH
Project Coordinator
Provincial Health Services Authority
Vancouver, BC
- Full-time
…helping move work from planning through implementation and evaluation while keeping activities, timelines, and priorities on track. They collaborate with internal and external partners to…
Added 14 hours ago
AC
Analyste d’affaires, Marchés des capitaux
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
You will be supporting different projects through your expertise as Business Analyst, Capital Markets.
Added 14 hours ago
AC
Product Owner, Solutions des marchés des capitaux
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Relevant experience as a Product Owner, Senior Business Analyst or technology-delivery professional.
Added 14 hours ago
AC
Full-time Institutional Research Advanced Data Analyst
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
Reporting to the Manager, Institutional Analytics and Planning, the IR Advanced Data Analyst develops predictive models, forecasts and advanced analytical tools to support strategic,…
Added 15 hours ago
PR
Senior Supply Chain Analyst
Paramount Resources
Calgary, AB
- Full-time
Added 15 hours ago
MC
Senior Business Analyst, Proposal & SOW Writing (36143)
Myticas Consulting
Ottawa, ON
- Contract
…development of Statements of Work (SOWs), Task Authorizations (TAs), evaluation criteria and proposal/RFP documentation for a confidential Government of Canada department, primarily…
Added 16 hours ago
LM
Senior Compensation Analyst, Total Rewards
Liberty Mutual Canada
Remote, Canada
- Temporary
- Remote
Senior Compensation Analyst, Total Rewards (12-month Contract)
Added 16 hours ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Preferred certifications: Microsoft Certified: Security Operations Analyst Associate, SC-200, AZ-500, Google Professional Cloud Security Engineer, CISSP, CISM, GIAC.
Added 17 hours ago
C&
Senior Financial Analyst – Sales
Church & Dwight Co., Inc.
Mississauga, ON
- Full-time
…results? Church & Dwight Canada is looking for a Senior Financial Analyst – Sales to join our Finance team and play a key role in supporting profitable growth across our portfolio of…
Added 17 hours ago
LM
Senior Compensation Analyst, Total Rewards
Liberty Mutual Canada
Toronto, ON
- Temporary
Senior Compensation Analyst, Total Rewards (12-month Contract)
Added 17 hours ago
M
RQ11717 - Business Analyst - Senior
Maarut
Toronto, ON
- Contract
Develops performance measures and traceability matrices for business analysis evaluation and conducts follow-up.
Added 18 hours ago
I
Policy Analyst - Trade and Sustainable Development
IISD
Winnipeg, MB
- Full-time
IISD’s Trade policy team is recruiting a Policy Analyst to support research implementation and outputs, provide analysis for evidence-based policies grounded in scientific research, and…
Added 18 hours ago
NB
Investment Banking Analyst
National Bank of Canada
Calgary, AB
- Full-time
As an Investment Banking Analyst (Engineering/Geology) in the Acquisitions & Divestitures group at National Bank of Canada Capital Markets (NBCCM), you play a lead role in supporting the…
Added 18 hours ago
B
Senior Financial Analyst, Marketing
BRP
Montreal, QC
- Full-time
We are looking for a Senior Financial Analyst to join BRP’s finance team and play a key role alongside the marketing team. Reporting to the Finance Manager – Marketing, you will serve as a…
Added 19 hours ago
WC
Pricing Analyst
Waste Connections of Canada
Coquitlam, BC
- Full-time
The Pricing Analyst supports the Controller and Sales Manager with customer quotes, bids, RFPs, and contract opportunities. Responsibilities include preparing and reviewing pricing,…
Added 19 hours ago
TG
Junior Cybersecurity Operations Analyst Intern
TMX Group
Toronto, ON
- $20 to $24 CAD / hour
- Full-time
…Information Security Office as a Junior Cybersecurity Operations Analyst Intern. In this role, you will collaborate closely with our Security Operations Center (SOC) team, playing a vital…
Added 21 hours ago
GC
Senior Financial Analyst, Programs
Grand Challenges Canada
Toronto, ON
- Full-time
Position(s): Senior Financial Analyst, Programs
Added 22 hours ago
C
Senior QA Test Analyst, Assistant Vice President
Citi
Mississauga, ON
- Full-time
The IT Quality Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and…

Brillio

Senior 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: 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.

Apply About employer

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

Report this job