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Added 3 days ago
V
Anlst II, IT
Vale
Canada
- Full-time
The Analyst II, Transition to Run is responsible for managing the seamless transition of new or modified IT services into the operational environment. This role ensures that all service,…
Added 3 days ago
Investment Analyst
Department of Finance
Winnipeg, MB
The Investment Analyst supports the management and performance of the Province’s investment portfolios by overseeing investment transactions, conducting financial and credit analysis,…
Added 3 days ago
Y
Business Systems Analyst (Dynamics 365 BC)
Yochana
Mississauga, ON
- Contract
Role: Business Systems Analyst (Dynamics 365 BC) - Hybrid Mississauga
Added 3 days ago
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Senior Databricks Data Platform Engineer
Brillio
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 3 days ago
F饭
Marketing Business Systems Analyst
Fantuan 饭团
Toronto, ON
- Full-time
Recommend changes to system functionality, reporting requirements, and automated workflows based on identified business needs and system performance.
Added 3 days ago
IG
Sr. Product Owner
Insight Global
Toronto, ON
- $70 to $75 CAD / hour
- Full-time
…creating compelling presentations and Excel for data analysis and reporting. Capable of leveraging these tools to communicate complex information clearly and effectively to various…
Added 3 days ago
PH
Privacy and Security Analyst, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time
Added 3 days ago
PH
Financial Analyst, Physician Compensation
Provincial Health Services Authority
Vancouver, BC
- Full-time
The Financial Analyst provides financial analysis, reporting, forecasting, and decision support related to physician compensation, funding, salaries, and recoveries across the Provincial…
Added 3 days ago
I
Analyst - Information Security
Innergex
Longueuil, QC
- Full-time
Reporting to the Vice President IT/OT, you will play a key role in detecting, analyzing, and mitigating cyber threats, continuously improving security controls, and reducing cybersecurity…
Added 3 days ago
OM
Analyst, Marketing Science
Omnicom Media
Toronto, ON
- Full-time
As an Analyst, you will support functions across a wide array of Data Analysis and Operational needs, including:
Added 3 days ago
FS
Senior Risk Analyst
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Accountable for conducting detailed risk analyses, assessments and reporting on an assigned portfolio of financial institutions and for leading change in departmental processes and systems…
Added 3 days ago
C
Supply Chain Data Analyst
Convergint
Calgary, AB
- Full-time
Job Description: Convergint is looking for a team-oriented, results-driven, Supply Chain Data Analyst, to join our amazing culture. As the Supply Chain Data Analyst, you will be responsible…
Added 3 days ago
AC
Full-time Institutional Research Advanced Data Analyst
Algonquin College of Applied Arts and Technology
Ottawa, ON
- Full-time
Reporting to the Manager, Institutional Analytics and Planning, the IR Advanced Data Analyst develops predictive models, forecasts and advanced analytical tools to support strategic,…
Added 3 days ago
1P
Automation Quality Assurance Analyst
10 Percent Recruiting Ltd.
AB · Alberta, Canada
- Contract
Job Title: Automated Quality Assurance Analyst
Added 3 days ago
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Senior Finance Analyst
TD
Toronto, ON
- Full-time
…Analysis activities, execute monthly financial performance reporting, and play a key role in supporting business leaders through forecasting, planning, performance management, and financial…
Added 3 days ago
T
Product Control Analyst
TD
Toronto, ON
- Full-time
The Product Control Analyst provides independent oversight of balance sheet, profit and loss (P&L), revenue attribution, fair value, and valuation-control processes for TD Securities…
Added 3 days ago
C
Applications Support Sr Analyst - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The Apps Support Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and…
Added 3 days ago
VB
Senior FP&A and Systems Analyst (6 Month Contract)
Vaco by Highspring
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Senior FP&A and Systems Analyst – 6 Month Contract
Added 3 days ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Reporting to the Finance Manager, Corporate Consolidations and working with our global Husky Finance teams, the Senior Financial Analyst plays a critical role in the timely and accurate…
Added 3 days ago
GO
Investment Analyst
Government of Manitoba
Winnipeg, MB
- Full-time
The Investment Analyst supports the management and performance of the Province’s investment portfolios by overseeing investment transactions, conducting financial and credit analysis,…
Added 3 days ago
PO
Analyste d’affaires (FICO) - Business Analyst (FICO)
Port of Montreal
Montreal, QC
- Full-time
Reporting to the Head of Business Applications and Operational Performance, the FICO Business Analyst is responsible for planning, coordinating, and implementing SAP processes to support…
Added 3 days ago
C
Manager, Business Analyst - CHAPS / High-Value Payments
Cognizant
Toronto, ON
- Full-time
As a Manager, Business Analyst - CHAPS / High-Value Payments, you will make an impact by translating complex UK high-value payment and regulatory requirements into clear business and…
Added 3 days ago
Amazon Finance Rotational Program (AFRP) - Operations Finance, Early Career - 2027
Amazon
Toronto, ON
The Operations Finance Rotational Program (OFRP) - Operations Financial Analyst role is an intensive two-year, entry-level undergraduate rotational program spanning two year-long…
Added 3 days ago
B
Financial Analyst, Corporate Functions
BRP
Sherbrooke, QC
- Full-time
We are seeking a financial analyst who will report to the manager, finance, corporate FP&A, responsible for producing and enhancing financial reports, working on continuous improvement…
Added 3 days ago
R
Supply Chain Management Support Analyst
Raise
Calgary, AB
- Contract
Reporting to the Team Lead, SCM Support Services, the SCM Support Analyst will provide Supply Chain Management related application and process support to all internal and external clients.…

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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