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Added 9 mins ago
PF
Data Engineer
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Data Engineer to join our IT team in Langley, BC.
Added 9 mins ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Design, deploy, configure, and manage cloud infrastructure using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Added 9 mins ago
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Cyber Security Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
- Full-time
…cyber security tooling capabilities. Each of the Cyber Security Engineer roles focuses on specialized areas of security tooling in order to better defend, identify, and secure systems and…
Added 9 mins ago
AI
Adobe Site Reliability Engineer (French)
Apptoza Inc.
Toronto, ON
- Full-time
Job Title: Adobe Site Reliability Engineer (French)
Added 9 mins ago
SP
Manager, Product, Pricing & Integrations Operations
Salesforce Partner Canada
Toronto, ON
- Full-time
…with a clear split of responsibility between Prod Ops and the Platform team. Build an M&A licensing playbook for bringing acquired-company user licensing into our…
Added 9 mins 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 39 mins ago
P
Sr. React Native Engineer | US/Canada
Pack.com
Remote, Canada
- Remote
Our platform core is already ~98% built on the web, and we are now expanding our mobile surface. We are looking for an elite Senior React Native Engineer to lead the engineering of our iOS…
Added 39 mins ago
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Application Security Engineer
Hays
Toronto, ON
- Contract
We are seeking a Senior Application Security Engineer / Snyk Migration Lead to join a critical application security initiative.
Added 39 mins ago
AI
Maintenance Control Technician
Air Inuit
Montreal, QC
- Full-time
Hold a valid Aircraft Maintenance Engineer (AME) licence issued by Transport Canada.
Added 54 mins ago
DC
Waste Management Engineer-In-Training - Vancouver
Dillon Consulting Limited
Vancouver, BC
- Full-time
We are currently seeking a Waste Management Engineer-In-Training to join our Waste Management Discipline. Our team specializes in delivering progressive, sustainable waste management…
Added 54 mins ago
M
Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
Motion is building the command center for creative strategists: an AI-native platform that bridges the gap between performance marketers and creative teams, so they can uncover what’s…
Added 54 mins ago
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Cloud Architect
Hays
Toronto, ON
- Contract
…delivery management, and release readiness sit with the AI Engineer…
Added 54 mins ago
M
Systems Engineer
MCAP
Waterloo, ON
- Full-time
We are seeking a highly skilled and motivated Systems Engineer to join our Platform Services team. This role is ideal for an engineer who thrives in a modern infrastructure environment and…
Added 1 hour ago
AI
Adobe Site Reliability Engineer
Apptoza Inc.
Toronto, ON
- Full-time
Adobe Site Reliability Engineer ( English and French)
Added 1 hour ago
ML
IT Security Consultant
Maple Leaf Foods Inc
Mississauga, ON
- $96,000 to $141,000 CAD / year
- Part-time
Represent cybersecurity within Enterprise Architecture and Platform Engineering forums to ensure projects and designs are based on internal and industry best security practices.
Added 1 hour ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
Implements contact flows, IVR logic, routing strategies, and agent workspace configurations on both Amazon Connect and Google CCAI platform.
Added 1 hour ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 1 hour ago
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Software Development Engineer in Test, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 1 hour 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 1 hour 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 1 hour 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 1 hour ago
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Senior Staff Software Engineer - Money Boxes
Nubank
Toronto, ON
- Full-time
…verticals, we are looking for an exceptional Senior Staff Software Engineer to serve as the chief technical authority for our Money Boxes core…
Added 1 hour ago
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QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
…real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest…
Added 2 hours ago
AI
Windows Server Administrator - SCCM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Calgary, AB
- Full-time
…production rollout or ongoing administration of the Qualys…
Added 2 hours 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…

Univedge Consulting LLC

Databricks Data Platform Engineer

Canada

Contract

Apply 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

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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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