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Added 35 mins ago
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Section Chief, Engineering - Digital Projects and Engineering Tools
Bombardier
Dorval, QC
- Full-time
We are seeking a results-oriented Section Chief, Engineering to lead a team of project managers responsible for Computer-Aided Design (CAD), Product Lifecycle Management (PLM), and…
Added 51 mins ago
W
Oracle EBS & Fusion SCM Architect
W3Global
Canada
- Contract
We are seeking an architect-level Oracle resource to define and lead enterprise supply chain solutions across Oracle E-Business Suite and Oracle Fusion Cloud SCM. The role requires deep…
Added 51 mins ago
QH
Patient Services Manager
Quinte Health
Belleville, ON
- Full-time
…effective service, a positive patient experience, clinical integration and promotion of a quality of work life…
Added 51 mins ago
JH
Director, Total Rewards
JUST HR
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Lead annual compensation planning cycles and provide expert counsel on the design and administration of compensation programs and salary structures.
Added 51 mins ago
MC
Program Chief Engineer – Spacecraft Satellite Systems (35863)
Myticas Consulting
Canada
- Full-time
…complete spacecraft lifecycle - architecture and design through integration, verification, launch and on-orbit…
Added 51 mins ago
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Education Manager, Sales and Education
AMOREPACIFIC
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $95,000 CAD / year
- Full-time
Amorepacific Canada is seeking an Education Manager to lead the development and execution of education and training initiatives across its Canadian portfolio of prestige, luxury, and…
Added 51 mins ago
Sr. Business Process Analyst, Logistics
Tenstorrent
Toronto, ON
…will contribute meaningfully to ERP adoption, logistics system integration, master data quality, and cross-functional change…
Added 1 hour ago
II
Director, AI Applications Development
iVedha Inc.
Toronto, ON
- Full-time
iVedha Inc. is hiring Director - AI Applications Development, where you'll lead the AI Applications Development function and guide a high-performing team of AI engineers, developers, and…
Added 1 hour ago
TU
Research Associate
The University of British Columbia
Vancouver, BC
- Full-time
…with a high degree of independence and scientific judgment to lead research projects within priorities established by the Principal Investigators. The role includes developing and…
Added 1 hour ago
A
Digital Transformation Project Manager
Affinity
Surrey, BC
- Contract
…represent all of our key departments. The role may subsequently lead additional enterprise initiatives, including M&A, CMS, IoT, and operational support…
Added 1 hour ago
A
Sr. Manager, Key Accounts – Commercial Planning
AMOREPACIFIC
Toronto, ON · Greater Toronto Area, Canada
- $110,000 to $130,000 CAD / year
- Full-time
Lead commercial negotiations with retail partners to align sales targets, OTB commitments, inventory levels, and growth expectations.
Added 1 hour ago
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Directeur principal, Exploitation du commerce de détail – Québec
MEC
Montreal, QC
- Full-time
You will lead Québec as a distinct market within MEC, shaping multi-year growth plans, driving operational excellence, and building a high-performing leadership team. This role evolves…
Added 1 hour ago
C
Senior Engineering and Delivery Lead
Citi
Mississauga, ON
- Full-time
We are seeking a seasoned, highly experienced, and motivated Senior Engineering and Delivery Lead to spearhead the end-to-end execution and technology delivery of regulatory reporting…
Added 1 hour ago
I
Business Development Representative
Ideogram
Toronto, ON
- Full-time
Added 2 hours ago
AI
IVR-Contact Centre Engineer
Apptoza Inc.
Toronto, ON
- Full-time
Lead the design, development, implementation, and support of IVR and Contact Center applications.
Added 2 hours ago
ST
AI Engineer
SS&C Technologies
Mississauga, ON
- Full-time
…Intelligence, and we're looking for an experienced AI Engineer to help lead that…
Added 2 hours ago
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ROV Technician
Dalhousie University
Halifax, NS
- Full-time
Plan, prepare, and lead at-sea missions, including logistics, mobilization, transportation, equipment integration, and operational activities.
Added 2 hours ago
C
Operations Coordinator
Caredove
Remote, Canada
- $55,000 to $80,000 CAD / year
- Full-time
- Remote
● Operate in collaboration with multiple partner organizations, necessitating seamless integration and project coordination efforts.
Added 2 hours ago
RL
Director of Public Relations
Republic Live Inc
Toronto, ON
- Full-time
Lead influencer outreach, relationship management, and event integration.
Added 2 hours ago
SH
Lead Hand - Medical Device Reprocessing
Southern Health-Santé Sud
Steinbach, MB
- Full-time
The Medical Device Reprocessing (MDR) Lead Hand is responsible for providing regional coordination for the medical device reprocessing area and related clinical settings. This individual…
Added 2 hours ago
FH
Senior Leader, Design - Redevelopment & Major Projects
Fraser Health
New Westminster, BC
- Full-time
Reporting to the Chief Project Officer, or site designate, the Senior Leader, Design is responsible and accountable to lead a comprehensive range of activities within the assigned project…
Added 2 hours ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Support enterprise Master Data Management (MDM), metadata management, data integration, analytics and information management capabilities.
Added 2 hours ago
HT
Financial Manager (CSM)
Husky Technologies
Bolton, ON
- Full-time
During the month end close, review process and integration issues in BAAN and AX. Liaison with IT and/or Controllership to resolve prior to the period close. This requires a comprehensive…
Added 2 hours ago
FA
Technical Sales Engineer - General Industry
FANUC America Corporation
Blainville, QC
- $93,000 to $138,000 CAD / year
- Full-time
Lead customer-facing technical sales activities throughout the sales cycle, from opportunity identification, qualification, and solution definition to quotation support, negotiation, and…
Added 2 hours ago
L
Senior Software Engineer – AI Agents
lululemon
Vancouver, BC
- Full-time
As a Senior Software Engineer – AI Agents, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing…

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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