Find work in Canada.

543,960 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
V
Project Manager (Engineering Applications)
VueReal
Waterloo, ON
- Full-time
Be part of VueReal and lead groundbreaking projects that address emerging markets such as automotive displays, wearables, augmented reality, and other transformative initiatives. Join a…
Added 11 mins ago
K
Senior Mechanical Engineer - Rotating Equipment
Kent
Calgary, AB
- Full-time
Lead rotating equipment engineering activities, ensuring deliverables meet project scope, technical requirements, budgets, and schedules.
Added 11 mins ago
U
Production Supervisor (Afternoon Shift) - UniFirst Canada
UniFirst
Mississauga, ON
- Full-time
…Production Supervisor, you will be a key player in helping to lead the production team and drive top level performance. At UniFirst we have a 5-day work week, enjoy Saturday & Sunday off!!…
Added 11 mins ago
P
Director, Data Enablement
PwC
Toronto, ON
- Full-time
Lead executive-level client engagements focused on data strategy, platform modernization, analytics transformation, and AI readiness.
Added 26 mins ago
CE
Senior Plant Engineer
Cenovus Energy
Calgary, AB
- Full-time
Lead the technical development of facility projects, including scope definition, design, cost estimating, economic evaluation and preparation of project justifications to support investment…
Added 26 mins ago
B
AI Development Manager
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
3+ years of experience in an AI/ML, data science or analytics leadership role, such as manager, technical lead or principal.
Added 26 mins ago
BC
Planificateur(trice) Senior / Senior Planner – Bird Heavy Civil
Bird Construction
Montreal, QC
- Full-time
…hydroelectric, transportation, and industrial construction, BHC combines technical excellence, self-perform capabilities, and a safety-first culture to successfully execute projects from…
Added 26 mins ago
BC
Junior Estimator - Civil - BHC
Bird Construction
Mississauga, ON
- Full-time
…hydroelectric, transportation, and industrial construction, BHC combines technical excellence, self-perform capabilities, and a safety-first culture to successfully execute projects from…
Added 26 mins ago
BC
Estimateur Senior - Civil - Senior Estimator - BHC
Bird Construction
Montreal, QC
- Full-time
Added 26 mins ago
Senior Designer
GHD Group Pty Ltd
Montreal, QC
We’re looking for an experienced architectural professional who brings strong technical capability, sound judgement and the confidence to take ownership of projects from concept through…
Added 26 mins ago
M
Senior Manager, Commercial Management
Metrolinx
Canada
- Full-time
We’re looking for a Senior Manager, Commercial Management to lead and provide commercial oversight for diverse projects within the Stations portfolio at various stages of the delivery…
Added 26 mins ago
M
Environmental Management Specialist
Metrolinx
Canada
- Full-time
Lead, plan and conduct objective environmental audits on the adequacy and effectiveness of the EMS processes, procedures and internal controls, with the objective of proactively identifying…
Added 26 mins ago
Project Manager
Zulu Alpha Kilo
Toronto, ON
We’re looking for an experienced, collaborative Project Manager to join our growing team and lead the planning, coordination and delivery of large-scale, integrated campaigns across teams,…
Added 26 mins ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
…and migrations for the company’s clients and serves as the lead technical contact for one key enterprise account, guiding its project planning and technical…
Added 26 mins ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
…and migrations for the company’s clients and serves as the lead technical contact for one key enterprise account, guiding its project planning and technical…
Added 26 mins ago
SI
Senior Systems Engineer
STACK IT Recruitment
Remote, Canada
- $110,000 to $130,000 CAD / year
- Full-time
- Remote
…and migrations for the company’s clients and serves as the lead technical contact for one key enterprise account, guiding its project planning and technical…
Added 26 mins ago
FM4 Commissioning Manager
VCNA
Bowmanville, ON
Lead the Plant team through wet commissioning, startup, performance testing, ramp-up and stabilization, while providing concise status reporting and escalating unresolved safety, technical,…
Added 26 mins ago
R
Rédacteur technique et illustrateur en aéronautique – Bulletins de service et catalogues de pièces illustrés / Aerospace Technical Writer & Illustrator – Service Bulletins and Illustrated Parts Catalog
RTX
Longueuil, QC
- Full-time
Added 26 mins ago
D
Team Lead
Dynacare
Winnipeg, MB
- Contract
As a Lead Coordinator, you will be responsible for ensuring the efficient operation and functionality of the operations in conjunction with the Manager, all in keeping with Dynacare’s…
Added 26 mins ago
Manager, Financial Analysis - Finance
Scotiabank
Toronto, ON
Supervise monthly G/L lead sheet attestation while identifying, investigating and resolving variances as required from Regulatory and Compliance department
Added 26 mins ago
Manager, Identity Lifecycle Management
Scotiabank
Toronto, ON
Reporting to the Senior Manager, the Manager will lead a team of Security Analysts who perform access provisioning, audit reporting, and risk remediation related to Identity Management…
Added 26 mins ago
S
Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
…development and support, operations support) with proven ability to lead a technical team through a process and systems…
Added 26 mins ago
Senior Data Analyst
Government of Alberta
AB
Lead complex data analysis projects by applying advanced statistical methods and techniques to extract actionable insights.
Added 26 mins ago
VT
AI & Process Improvement Analyst (New Grad)
Valwell Technologies
AB · Edmonton, AB
- Full-time
You will work directly with our AI Lead to apply AI and current technology to streamline how ValWell operates, from quoting and job preparation through shop work-flow, field service,…
Added 26 mins ago
T
Partner Customer Success Manager (PCSM) - Accounting & Advisory Channel
TP
Canada
- Full-time
Practice Onboarding & Tier Progression: Lead structured onboarding from initial introduction to accelerate time-to-first-value; coach accounting professionals through certification programs…

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