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Added 2 days ago
MI
IoT Developer
Magna International
London, ON
- Full-time
Work with the Factory of the Future/ Industry 4.0 team to support Digitalization strategy for Seating group in America and China. This individual will be responsible for managing the…
Added 2 days ago
RH
Senior Compensation Analyst, Total Rewards (12-mon Contract)
Robert Half
Toronto, ON
- Contract
Participate in compensation surveys and analyze market data to support compensation strategy and competitiveness.
Added 2 days ago
Test Automation Engineer
Red River Mutual
Winnipeg, MB
Create and manage test data to support various testing scenarios and ensure data integrity.
Added 2 days ago
S
Analyste commerciale // Business Analyst
SSENSE
Montreal, QC
- Full-time
Narration de données (Data Storytelling) : Vous savez transformer des récits de données complexes en tableaux de bord visuels et clairs que la direction exécutive peut facilement assimiler…
Added 2 days ago
MA
Actuarial Analyst – 2026 & 2027 New Grads - Montreal
Marsh Agency
Montreal, QC
- Full-time
…the office. The below listed teams are looking for Actuarial Analyst (2026 & 2027 New…
Added 2 days ago
MA
IAM RBAC Business Solution Analyst Lead
Marsh Agency
Toronto, ON
- Full-time
You will be responsible for defining the strategy, building the operating model, leading implementation, and embedding RBAC as a sustainable enterprise capability. You will work across IAM,…
Added 2 days ago
MA
Marsh People and Investment - Compensation Consulting Analyst - Ottawa- 2027 New Grads
Marsh Agency
Ottawa, ON
- Full-time
As a Compensation Analyst in the Workforce and Rewards practice, you will work with a broad range of clients and industries in a stimulating environment, participating as an integral member…
Added 2 days ago
MA
Marsh People and Investment - Compensation Consulting Analyst - Toronto - 2027 New Grads
Marsh Agency
Toronto, ON
- Full-time
As a Compensation Analyst in the Workforce and Rewards practice, you will work with a broad range of clients and industries in a stimulating environment, participating as an integral member…
Added 2 days ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Title: Senior Financial Analyst - Corporate Accounting
Added 2 days ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time
…talent to develop with us as we pursue our ambitious growth…
Added 2 days ago
S
Analyste commerciale // Business Analyst
SSENSE
Montreal, QC
- Full-time
Narration de données (Data Storytelling) : Vous savez transformer des récits de données complexes en tableaux de bord visuels et clairs que la direction exécutive peut facilement assimiler…
Added 2 days ago
NB
Analyst or Associate Financial Resource Management
National Bank of Canada
Montreal, QC
- Full-time
Join a high-impact team in Capital Markets where financial strategy meets innovation. As an Analyst or Associate in the Financial Resource Management team, you’ll play a key role in…
Added 2 days ago
RB
Analyst, Risk
Rogers Bank
Toronto, ON
- Full-time
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 2 days ago
OH
Manager, Revenue Growth Management
Organika Health Products
Vancouver, BC
- Full-time
You will be an objective thought partner to Sales - not a gatekeeper and not a back-office analyst. You will turn complex data into clear choices, equip customer teams for stronger…
Added 2 days ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Title: Senior Financial Analyst - Corporate Accounting
Added 2 days ago
HT
Master Data Mgmt Analyst
Husky Technologies
Bolton, ON
- Full-time
…talent to develop with us as we pursue our ambitious growth…
Added 2 days ago
Analyst, Risk
Rogers Communications
Toronto, ON
Knowledge of Experian Strategy Design Studio, Modeling software (Alteryx, Knowledge Seeker), data mining coding (SQL, Python,
Added 2 days ago
C
Analyste d’affaires – Services bancaires aux entreprises
CGI
Montreal, QC
- Full-time
CGI Montréal is looking for a Business Analyst to analyze and improve commercial banking processes, particularly in the areas of lending, credit origination, and cash management. In this…
Added 2 days ago
C
Sr Financial Analyst
CBRE
Toronto, ON
- Full-time
As a CBRE Finance Sr. Analyst, you’ll apply advanced cash and accrual accounting fundamentals to prepare, evaluate, maintain, and deliver complete and accurate financial reports for a…
Added 2 days ago
RI
Senior Clinical IAM & RBAC Business Analyst - Healthcare
Rose International
Fredericton, NB
- Full-time
Assist in the development of the CIS access management strategy and RBAC framework
Added 2 days ago
NE
Sales Operations Analyst
Nexus Energy
Toronto, ON
- Contract
We’re seeking an individual with strong operational and data analysis skills to support our Deal Origination team. In this role, you’ll analyze data, assess client needs, prepare proposals,…
Added 2 days ago
C
Senior Analyst, Macro Research
CIBC
Toronto, ON
- Full-time
The Senior Analyst plays an important role in shaping CIBC Global Asset Management’s applied macro research and portfolio perspectives. As a core member of the Global Research team, you’ll…
Added 2 days ago
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Senior Databricks Data Platform Engineer
Brillio
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 days ago
PH
Privacy and Security Analyst, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time
…software solution as part of the BC Health Human Resources Strategy to transform HR services. Designed by Workday Canada, the new provincial platform will replace existing HR and payroll…
Added 2 days ago
OM
Analyst, Marketing Science
Omnicom Media
Toronto, ON
- Full-time
As an Analyst, you have a background in data analysis, performance marketing, digital analytics, media planning/strategy, or something along those lines. You are generally what people would…

Brillio

Senior 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: Nov 4, 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

Why Join Us

This role offers the opportunity to shape the Databricks platform that powers data and AI. You will work with the latest Lakehouse and agentic AI capabilities, see the direct impact of your work on cost, reliability, and developer productivity, and help build the foundation that enables McAfee to protect millions of users worldwide. Join us in creating the next generation of data platforms that will power continued innovation and growth.

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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 CI/CD. Improve platform cost and performance, develop AI-enabled operational workflows, and partner with teams across engineering, security, finance, and data science to establish standards and enable adoption.

Requirements

Requires 7+ years in data engineering, data platform, or DevOps roles, including 3+ years administering and engineering Databricks in an enterprise environment. Candidates need strong Databricks, Unity Catalog, Terraform, CI/CD, Delta Lake, Python, SQL, cloud, cost optimization, and sensitive-data security experience.

Skills

Unity Catalog
Terraform
CI/CD
Databricks Asset Bundles
Azure DevOps
GitHub Actions
Python
SQL
PySpark
Spark Performance Tuning
Delta Lake Optimization
FinOps
Cloud Networking and Identity
Agentic AI Workflows
Data Governance and Security

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
Apache Spark
Delta Lake
FinOps
Mosaic AI Agent Framework
Model Context Protocol
Model Serving
Vector Search
Anthropic Models
Copilot
Lakeflow
Delta Live Tables
Lakehouse Monitoring
Azure
AWS
GCP
ADLS Gen2
S3
SCIM
Docker

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