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Added 8 mins ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 53 mins ago
ST
Senior Chemical Process Engineer
Saltworks Technologies
Richmond, BC
- $110,000 to $150,000 CAD / year
- Full-time
We have an exciting opportunity for a Senior Chemical Process Engineer to join our multi-disciplinary team. Our Process Engineering team leads the design of lithium concentration and…
Added 53 mins ago
ST
Pilot Plant Engineer
Saltworks Technologies
Richmond, BC
- Full-time
Join our team as a Pilot Plant Engineer and play a key role in overseeing and optimizing our cutting-edge pilot-scale plants. This position offers a dynamic mix of fieldwork, factory…
Added 1 hour ago
S
Technology Manager
Skip
Oakville, ON
- Full-time
…implementation of solutions built by your engineering team. We engineer for high scale and low latency, ensuring our location insights operate in near real-time while seamlessly integrating…
Added 4 hours ago
RO
Advisor, Water and Wastewater Strategic Infrastructure Planning
Region of Peel
Brampton, ON
- Contract
…and supporting water and wastewater regulatory compliance and quality management systems. We build and manage strategic partnerships with the Local Municipalities, Ontario Clean Water…
Added 5 hours ago
AA
Ingénieur principal ou ingénieure principale en assurance qualité des logiciels/Senior Software Quality Assurance Engineer (ALQ)
Aviya Aerospace Systems
Longueuil, QC
- Full-time
…Aerospace and Defense Contractors. Aviya has an opening for a Senior Software Quality Assurance Engineer to join our engineering group in Montreal, Longueuil. ***Applicants are asked to…
Added 5 hours ago
LI
Senior Software Engineer - C#/.NET & Blazor
LanceSoft, Inc.
Markham, ON
- $70 to $75 CAD / hour
- Contract
Design, develop, and maintain scalable, high-quality web applications and services using Blazor, C#/.NET, and Python.
Added 5 hours ago
BD
Senior DevOps Engineer - Cloud Operations
Black Duck
Calgary, AB
- Full-time
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application…
Added 5 hours ago
AW
Instrumentation and Control Engineer
Agilus Work Solutions
Calgary, AB
- Full-time
Lead Complex Industrial Projects as a Senior or Principal Instrumentation & Controls Engineer
Added 5 hours ago
GR
Senior Product Design Engineer
Goldbeck Recruiting
Chilliwack, BC
- Full-time
For their Dynamics Engineering Team, they are looking for a Senior Product Design Engineer who will design innovative, precision mechanical products, driving them through the entire…
Added 6 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
We have an opening for a Mechanical / Manufacturing Engineer working with our Manufacturing Engineering Team as outlined below:
Added 6 hours ago
M
Engineer-in-Training (EIT), Calgary
Midwest
Calgary, AB
- Full-time
Working under the direct supervision of the Senior Engineer and Major Pipeline Projects Manager, the Engineer-in-Training (EIT) supports midstream mechanical, pipeline, and facility…
Added 6 hours ago
AE
Senior Bridge Engineer
Associated Engineering
Calgary, AB
- Full-time
Associated Engineering, a proudly Canadian, Employee-owned Company is seeking an experienced and dedicated Senior Bridge Engineer to join our team in our Calgary office. In this role you…
Added 6 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 6 hours ago
GO
Operating Engineer
Government of Manitoba
Winnipeg, MB
- Full-time
Reporting to the Chief Power Engineer, the incumbent is responsible for the overall safe and efficient operation of a 1st Class High Pressure Heating Plant and all of its auxiliaries. The…
Added 6 hours ago
O
Senior/Staff Software Engineer - Tech Lead
OpenMined
Remote, Canada
- $126,000 to $188,000 USD / year
- Contract
- Remote
We're looking for a Senior / Staff Software Engineer to join OpenMined, a nonprofit building open-source infrastructure for federated AI.
Added 6 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 6 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 6 hours ago
Software Development Engineer II, Amazon MQ
Amazon
Vancouver, BC
As a Software Development Engineer with Amazon MQ, you will be responsible for designing, developing, testing, and deploying distributed open-source message broker systems and large-scale…
Added 6 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 6 hours ago
MC
Senior Mechanical PCB Engineering Consultant (35428)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Contract
Seeking an experienced Mechanical Engineer to provide onsite engineering support for the development of advanced hardware platforms and optical communication products. The consultant will…
Added 6 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 6 hours ago
MC
Senior ASIC Verification Engineer (35885)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
…collaborating with cross-functional engineering teams to deliver high-quality silicon and hardware…
Added 6 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 6 hours ago
SR
Engineering Co
Saskatchewan Research Council (SRC)
Saskatoon, SK
- Volunteer
Assist senior engineers and designers with checking engineering deliverables, quality reviews and participating in construction and commissioning support activities including site visits,…

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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