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Added 42 mins ago
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DCN Project Cost Analyst
SLB
Calgary, AB
- Full-time
Added 42 mins ago
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DCN Project Controls System Analyst
SLB
Calgary, AB
- Full-time
The Project Controls System Analyst supports the Project Controls organization by administering, configuring, integrating, and continuously improving the digital toolset and data workflows…
Added 42 mins 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 42 mins ago
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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 56 mins ago
AI
AI SUPPORT ANALYST – GENERATIVE AI, M365 & TECHNICAL SUPPORT
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a Level 2.5 AI Support Analyst to act as the front line for end-user AI, answering user questions across the firm's AI portfolio and capturing every query in a structured…
Added 1 hour ago
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Business Systems Analyst (Dynamics 365 BC)
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Mississauga, ON
- Contract
Role: Business Systems Analyst (Dynamics 365 BC) - Hybrid Mississauga
Added 1 hour 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 1 hour ago
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Privacy and Security Analyst, BC Health Workday
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time
…everyone at PHSA. As such, the requirement to continuously improve quality and safety is inherent in all aspects of this…
Added 1 hour ago
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Project Coordinator
Provincial Health Services Authority
Vancouver, BC
- Full-time
…provincially mandated projects. The role supports work related to quality improvement, data-informed decision-making, knowledge exchange, education, research, and broader health system…
Added 2 hours ago
MM
Trade Compliance Analyst
MTU Maintenance Canada
Delta, BC
- Full-time
…provider of commercial engine maintenance services worldwide. Quality, efficiency and innovation are our strengths. You, too, can become part of our dedicated…
Added 2 hours ago
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Assistant-Analyste de laboratoire - Assistant Analyst
Neopharm Labs
Blainville, QC
- Full-time
…natural health products, and cosmetics. Our continuously updated quality systems ensure fast, reliable, and compliant results that meet the highest standards in both domestic and…
Added 2 hours ago
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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 2 hours ago
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Automation Quality Assurance Analyst
10 Percent Recruiting Ltd.
AB · Alberta, Canada
- Contract
Job Title: Automated Quality Assurance Analyst
Added 2 hours ago
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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 2 hours ago
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Master Data Mgmt Analyst
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Bolton, ON
- Full-time
…compliance with business policies, documented procedures and data quality…
Added 2 hours ago
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Business Analyst
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Montreal, QC
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Data quality support (assisting in DQR creation and validation).
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CNC Machinist - Rotational Shifts only + Benefits package + Paid time off +Shift Premium+ RRSP benefits
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- Full-time
…and scrap events. Communicate as required with Team Leader, Quality Analyst and Programming support on findings and correct…
Added 3 hours ago
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Senior Broadcast Technologist (T & I) (On-site)
Radio-Canada
Toronto, ON
- Full-time
…services to video-over-IP. Or, you may be an industry or technical analyst elsewhere seeking an opportunity to join a nationally respected brand and organization where you can grow your…
Added 3 hours ago
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Senior Business Program Analyst
TD
Toronto, ON
- Full-time
The Senior Business Program Analyst will support the implementation and growth of Wealth's iD8 capability through data analysis, reporting, and communications, and will collaborate closely…
Added 3 hours ago
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Business Analyst (12 month term)
NAV CANADA
Ottawa, ON
- Full-time
The Business Analyst plays a key role in the planning, organizing, business process analysis, requirements, development, acquisition, configuration, enhancements, implementation, and…
Added 3 hours ago
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Insolvency Analyst, Court team, Personal Debt Solutions
BDO
Hamilton, ON · Niagara Falls, ON · Peterborough, ON
- Full-time
Our BDO office is looking for an Insolvency Analyst to join the Court team as part of the Personal Debt Solutions group. This is a new role, and the successful candidate will own the…
Added 3 hours ago
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Analyst, Marketing Science
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As an Analyst, you will support functions across a wide array of Data Analysis and Operational needs, including:
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Workforce Planning Analyst
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Burnaby, BC · Prince George, BC · Trail, BC
As our Workforce Planning Analyst, you are responsible for the short and long term scheduling and forecasting needs for our Gas and Electric contact centre(s) and Billing Operations. You…
Added 3 hours ago
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Senior Quality Assurance Automation Engineer
Agilus Work Solutions
Toronto, ON
- $55 to $60 CAD / hour
- Contract
🚨 We're Hiring: Senior QA Automation Analyst / QE Lead
Added 3 hours ago
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Lab Technician III
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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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