Jobs in Canada

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Added 12 days ago
RS
Application Analyst - C / Sybase
Radiant Systems Solutions, Inc
AB · Edmonton, AB
- Contract
The System Analyst will be assigned requirements gathering & programming duties for application projects and enhancement tasks. The individual will also work closely with application…
Added 12 days ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
The Business Analyst, Omnichannel Enablement supports data-driven healthcare marketing initiatives by translating client and stakeholder needs into clear requirements, solution plans, and…
Added 12 days ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
The Business Analyst, Omnichannel Enablement supports data-driven healthcare marketing initiatives by translating client and stakeholder needs into clear requirements, solution plans, and…
Added 12 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 12 days ago
NC
Senior GIS Analyst (PFT) (CUPE 80.26) internal
Norfolk County
ON · Simcoe, ON
- Full-time
As the Senior GIS Analyst, you will develop and maintain advanced web-based GIS applications, maps, and data systems that support services across The Corporation of Norfolk County. You'll…
Added 12 days ago
TM
Senior Financial Analyst
The Mason Group - Strategic Search Partners
Burlington, ON
- $105,000 to $115,000 CAD / year
- Full-time
Our client is seeking a highly analytical and business-focused Senior Financial Analyst to join their Finance team. The Senior Financial Analyst is an integral part of the Corporate Finance…
Added 12 days ago
AL
Accounts Payable Analyst
Air Liquide Healthcare
Mississauga, ON
- Full-time
Air Liquide Home Healthcare Canada Inc. is looking for a dynamic Accounts Payable Analyst to join our team. In this role, you will be a key player in ensuring the accuracy, timeliness, and…
Added 12 days ago
VP
Canadian Business Immigration Lawyer
Vialto Partners
Vancouver, BC · Montreal, QC
- Full-time
Leverage technology, automation, and process improvement initiatives to enhance service delivery and the client experience.
Added 12 days ago
T
IT Operations Analyst II-Host Operations
TD
Toronto, ON
- Full-time
The department is 24/7/365, operating 12hr shifts on rotating basis (including holidays), rotating shift hours are 7am to 7pm, and 7pm to 7am
Added 12 days ago
SC
Senior Financial Analyst FP&A
Sleep Country
Brampton, ON
- Full-time
This is an exciting opportunity for a Senior Financial Analyst, Financial Planning & Analysis, to play a key role in delivering financial insights and decision support that drive strategic…
Added 12 days ago
FM
Manufacturing Technical Analyst
Ford Motor Company
Oakville, ON
- Full-time
Collaborate with the Product Development team to generate facility and tooling costs, improve quality, and reduce labor requirements.
Added 12 days ago
Total Rewards Analyst - Maternity Leave Replacement
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
The Compensation Analyst supports the development, implementation, and administration of the company’s total rewards programs. In this role, you will help ensure our compensation offering…
Added 12 days ago
N
Senior Finance Analyst, Operations Finance & Analytics
Napoleon
Barrie, ON
- Full-time
Job Title: Senior Finance Analyst - Operations Finance & Analytics
Added 12 days ago
SS
Business Analyst, Assistant Vice President
State Street
Toronto, ON
- Full-time
The Business Analyst , AVP has responsibility to support the Canada CEO and head of Canada Relationship Management (RM) by: building and maintaining executive reporting and presentations,…
Added 12 days ago
RI
Costing Analyst
Richardson International
Winnipeg, MB
- Full-time
…possibility. We currently have an opportunity for a Pricing & Sales Analyst in our Winnipeg office. The Pricing & Sales Analyst will be responsible for supporting the sales team in…
Added 12 days ago
MM
Oracle EPM Analyst
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 12 days ago
C
Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
…Operations Workbench team. You will be a key contributor to the development of our new, cutting-edge platform. You will apply your deep technical expertise to build and implement robust…
Added 12 days ago
C
Apps Dev Intmd Programmer Analyst
Citi
Mississauga, ON
- Full-time
Junior software Engineer to deliver end to end development
Added 12 days ago
JI
Junior Data Analyst
J.D. Irving, Limited
NS · Dartmouth, NS
- Full-time
As a Jr. Data Analyst (Crewing), you will support the development of reliable data assets that help teams make informed decisions, improve processes, and solve complex business challenges.…
Added 12 days ago
C
Project Analyst Co-op- Winter 2027
CIBC
Toronto, ON
- Full-time
…through data, insights, and continuous improvement. As a Data Analyst Co-op, you’ll contribute to the ongoing evolution of CIBC’s Enterprise Project and Portfolio Management system,…
Added 12 days ago
C
Associate Business Systems Analyst
Co-operators
Calgary, AB · Guelph, ON · Regina, SK
- Full-time
Work Model: Hybrid (2 days in office)
Added 12 days ago
RB
Equity Derivative Operations Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
As an Equity Derivatives Operations Analyst, you will ensure the timely and accurate completion of the primary responsibilities detailed below to support Equity Derivatives Businesses…
Added 12 days ago
R
Equity Derivative Operations Analyst
RBC
Toronto, ON
- Full-time
As an Equity Derivatives Operations Analyst, you will ensure the timely and accurate completion of the primary responsibilities detailed below to support Equity Derivatives Businesses…
Added 12 days ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Location: Toronto, Ontario (Hybrid: In-office 4 days per week)
Added 12 days ago
KL
Specialized Information Technology Analyst (Infrastructure)
Kativik llisarniliriniq
Montreal, QC
- Full-time
Under the supervision of the Computer Systems Coordinator, the Specialized Information Technology Analyst is responsible for analyzing, implementing, coordinating, and managing projects…

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