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Added 13 mins ago
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Analyst, Trade Support
RBC
Toronto, ON
- Full-time
RBC Capital Markets is hiring an Analyst to join the Middle Office Trade Support team within Operational Services, based in Toronto. In this role, you will support the timely and accurate…
Added 13 mins ago
R
Analyst – Interest Rate Strategy
RBC
Toronto, ON
- Full-time
Join RBC’s Interest Rates Strategy team, supporting senior strategists and developing your macro & markets knowledge. You’ll turn macro and market data into clear, actionable insights,…
Added 14 mins ago
T
Senior Governance & Control Analyst
TD
Toronto, ON
- Full-time
Reporting to the Manager, TDS G&C, the primary role of the Senior Analyst, TDS G&C, support all TDS businesses in adherence to regulatory and enterprise requirements, managing non-financial…
Added 14 mins ago
M
Senior Analyst, Project Finance & Infrastructure Ratings
Morningstar
Toronto, ON
- Full-time
Morningstar DBRS is seeking a Senior Analyst to join its Project Finance & Infrastructure team in Toronto. This role offers an opportunity to contribute to credit ratings and research…
Added 14 mins ago
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Senior Analyst & AI Agent Solutions, Human Resources Information System
Bombardier
Dorval, QC
- Full-time
Job Senior Analyst & AI Agent Solutions, Human Resources Information System
Added 43 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 58 mins ago
W
Senior Financial Analyst
Winchesters
Toronto, ON
- $95,000 to $105,000 CAD / year
- Full-time
Our client, an established real estate company, is looking for a Senior Financial Analyst to join their downtown Toronto team. This role offers broad exposure to financial reporting and…
Added 58 mins ago
IE
Analyst, Business
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
IMAX is seeking a Business Analyst to bridge business functions, technology teams, data teams, project management, and senior leadership in defining and delivering technology-enabled…
Added 1 hour ago
LC
Senior Product Analyst, People Technology & Analytics
Loblaw Companies Limited
Brampton, ON
- Full-time
Senior Product Analyst, People Technology & Analytics - Brampton, ON
Added 1 hour 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 1 hour ago
AS
Lead FinOps Analyst: Cloud, Network & Infrastructure
Apex Systems
Mississauga, ON
- $100 to $101 USD / hour
- Contract
McKesson is seeking a **Lead FinOps Analyst: Cloud, Network & Infrastructure** to own financial and consumption outcomes across its Cloud, Network, and Infrastructure services. This…
Added 1 hour ago
AS
Senior Technical Business Analyst – CABL Initiative
Apex Systems
Montreal, QC
- $70 to $71 USD / hour
- Contract
McKesson Canada is seeking a Senior Business Analyst to support the CABL initiative, partnering with business stakeholders, MBA subject matter experts, and data engineering teams. This role…
Added 1 hour ago
ML
Senior Analyst Identity and Access Management
Maple Leaf Foods Inc
Mississauga, ON
- $77,000 to $112,000 CAD / year
- Part-time
As the Senior Analyst Identity and Access Management, you will report to the IAM Manager and play a key role in maturing Maple Leaf Foods’ identity, privileged access management, and Zero…
Added 1 hour ago
R
Analyst – Interest Rate Strategy
RBC
Toronto, ON
- Full-time
Join RBC’s Interest Rates Strategy team, supporting senior strategists and developing your macro & markets knowledge. You’ll turn macro and market data into clear, actionable insights,…
Added 1 hour ago
T
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
T
Senior Market Risk Analyst (5622)
TD
Toronto, ON
- Full-time
Reporting to the Senior Manager, Market Risk, the Senior Risk Analyst’s accountabilities include:
Added 1 hour ago
Senior Analyst, Identity Lifecycle Management
Scotiabank
Toronto, ON
Supporting the business to understand their responsibilities with respect to logical access controls
Added 1 hour ago
S
Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
Ability to translate complex business requirements into clear functional and technical specifications and communicate technical concepts effectively to business users, senior leaders,…
Added 1 hour ago
Senior Data Analyst
Government of Alberta
AB
This position reports to the Manager, Data and Analytics within the Modernization and Business Intelligence unit of Motor Vehicle Modernization branch of Traffic Safety Services (TSS)…
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
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 1 hour ago
ES
SAP ISU Business Analyst
Epsilon Solutions Ltd.
Calgary, AB
- Full-time
We are seeking an experienced ISU Business Analyst (L2 Senior) to bridge business requirements and technology solutions.
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…
Added 2 hours ago
IG
Business System Analyst
IMCS Group
ON · Ontario, Canada
- Contract
Job Title: Senior Business Systems Analyst (TSBI)
Added 2 hours ago
C
Application Development Engineer (Java) - AVP
Citi
Mississauga, ON
- Full-time
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application…

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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