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Added 6 mins ago
CI
Accounting Assistant (Part-Time)
Candor Industrial Supply, Inc.
ON · Ontario, Canada
- $16 to $22 USD / hour
- Part-time
…opportunities to grow into roles such as Staff Accountant or Financial…
Added 21 mins ago
W
Application Analyst - Intermediate
Workiy
Edmonton, AB
- Contract
We are seeking an experienced Application Analyst – Intermediate to support the development, implementation, maintenance, and enhancement of enterprise applications. The ideal candidate…
Added 21 mins ago
Senior IT Business Systems Analyst
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are hiring a Senior IT Business Systems Analyst. This is a hybrid role located in London, Toronto or Winnipeg.
Added 36 mins ago
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Production Support Specialist
Hays
Toronto, ON
- Contract
We are looking for a Technical Production Support Analyst who is interested in distributed systems and working with high-scale services. The successful candidate enjoys working in a…
Added 36 mins ago
IE
Analyst, Business
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
With our global team spanning North America, Europe, and Asia, IMAX brings together proprietary software, world-class architecture, and cutting-edge technology with deep industry expertise.…
Added 51 mins ago
LC
Senior Product Analyst, People Technology & Analytics
Loblaw Companies Limited
Brampton, ON
- Full-time
Senior Product Analyst, People Technology & Analytics - Brampton, ON
Added 51 mins ago
IC
Business Analyst
Infotek Consulting Inc.
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $41 to $62 CAD / hour
- Contract
The project requires an experienced Business Analyst with strong Agile/Scrum experience to bridge business needs and technology delivery. The role will lead requirements management from…
Added 51 mins ago
RH
Cloud Systems Analyst
Robert Half
Toronto, ON
- Contract
We are looking for a Cloud Systems Analyst to support cloud infrastructure and end-user computing initiatives for a hospitality-focused environment in Toronto, Ontario. This Long-term…
Added 51 mins ago
AL
Développeur(euse) C# / C# Developer
Axis Lighting
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Confirms project requirements by reviewing program objective, input data, and output requirements with analyst, supervisor, and client.
Added 1 hour ago
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Senior Information Security Analyst - Detection Engineering
TD
Toronto, ON
- Full-time
We are seeking a Senior Information Security Analyst to support enterprise cybersecurity monitoring, detection engineering, and security operations improvement. This role will help develop…
Added 1 hour ago
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Analyst, Global Asset Management
CIBC
Toronto, ON
- Full-time
You're digitally savvy. Technologically literate and familiar with research/modeling quantitative software (E-views, Python, Matlab, Bloomberg, Datastream)
Added 1 hour ago
C&
Business Intelligence Analyst - Data and Automation
Communications & Power Industries (CPI)
Georgetown, ON
- $86,000 CAD / year
- Full-time
We are looking for a Business Intelligence Analyst – Data and Automation to join our CPI Power Electronics team. This is a hands-on role responsible for turning business needs and data from…
Added 1 hour ago
NC
Senior GIS Analyst (PFT) (CUPE 80.26) internal
Norfolk County
Remote, Canada
- Full-time
- Remote
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 1 hour ago
Senior Analyst, Identity Lifecycle Management
Scotiabank
Toronto, ON
Added 1 hour ago
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Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
The Systems Analyst III is key in maintaining Oracle operational excellence of Oracle system by directly supporting end users with appropriate urgency and priority, and in designing and…
Added 1 hour ago
Senior Data Analyst
Government of Alberta
AB
Develop Self and Others - The Senior Data Analyst takes a lifelong learning approach to data analysis and learns new techniques and data analysis software as it becomes available.
Added 1 hour ago
VT
AI & Process Improvement Analyst (New Grad)
Valwell Technologies
AB · Edmonton, AB
- Full-time
This is an analyst and builder blend. You do not need to be a software developer. You need to be sharp, numerate, curious about how things work, and able to use today's AI tools to build…
Added 1 hour ago
RS
Application Analyst - C / Sybase
Radiant Systems Solutions, Inc
AB · Edmonton, AB
- Contract
Job Title: Application Analyst - Intermediate
Added 1 hour ago
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Cost Analyst
Thermon
Orillia, ON
- Full-time
Thermon offers over 250 products, software, and services across multiple brands, providing a range of offerings from boilers, transportation heaters, and liquid load banks to tubing bundles…
Added 1 hour ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
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 1 hour 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 1 hour 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 2 hours ago
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Analyste d'affaires TI
Wepoint
Montreal, QC
- Full-time
Added 2 hours ago
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Analyste d'affaires TI
Onepoint
Montreal, QC
- Full-time
Added 2 hours ago
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Senior Financial Analyst
Canadian Mental Health Association
Guelph, ON
- Full-time
We are recruiting for a SENIOR FINANCIAL ANALYST

Univedge Consulting LLC

Databricks Data Platform Engineer

Canada

Contract

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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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