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Added 10 mins ago
BC
Directeur(trice) Préconstruction, Résidentiel | Pre Construction Director, Residential
Broccolini Construction Inc.
Montreal, QC
- Full-time
Faciliter l'alignement entre les fonctions lorsque la portée, les risques ou les exigences du client évoluent en cours de soumission
Added 10 mins ago
A
Talent Management Consultant
Accenture
Calgary, AB
- Full-time
…organizational consulting. We help clients with new skilling, talent strategy, leadership development, employee experience, change management and beyond. Visit us here to find out more…
Added 10 mins ago
P
Director, Data Enablement
PwC
Toronto, ON
- Full-time
Lead executive-level client engagements focused on data strategy, platform modernization, analytics transformation, and AI readiness.
Added 10 mins ago
T
TDS Operations Analyst III
TD
Toronto, ON
- Full-time
…culture and guides our behavior as we execute on our business strategy of being a premier Canadian retail bank, a top U.S. retail bank, and a leading Wholesale business aligned with our…
Added 10 mins ago
T
AVP Business Operations - BWI Technology
TD
Toronto, ON
- Full-time
Data, Analytics & Reporting Services: Lead alignment to GTS processes, with associated metrics to align strategy to objectives & deliverables. Deliver Business specific metrics and…
Added 10 mins ago
SL
AVP, CXO Strategy & Transformation
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
Reporting to the Vice-President, Experience, Planning and Transformation, CXO, the AVP, CXO Strategy & Transformation will help drive the development and stewardship of an integrated CXO…
Added 25 mins ago
EB
Community Growth Associate
EP Boards
Toronto, ON
- $55,000 to $75,000 CAD / year
Work cross-functionally with other teams on projects and strategy that drive account growth.
Added 25 mins ago
Gerant de la boutique - Montreal Eaton Centre
Lush Handmade Cosmetics
Montreal, QC
objectifs de vente quotidiens et assurer une expérience client unique et inclusive qui
Added 25 mins ago
Project Manager
Zulu Alpha Kilo
Toronto, ON
…that never gets noticed, has zero impact and is a waste of client budgets. We are here to change all that. When you truly embrace creativity as a competitive advantage, you will see it…
Added 25 mins ago
Manager, Strategic Initiatives(Ottawa) - 12 Month Temporary
Scotiabank
Ottawa, ON
…initiatives aimed at driving functional and organizational strategy. The incumbent is responsible for providing quality, efficient and specialized project execution, and leadership on a…
Added 25 mins ago
G
Head of Sales
GREENTEC
Cambridge, ON
- Full-time
We are searching for a strategic and driven Head of Sales to join our Sales team. You will lead, manage, and mentor a sales team to achieve company goals, develop and execute sales…
Added 25 mins ago
P
Client Segment Strategy & Execution
Procom
Toronto, ON
- $60 to $64 CAD / hour
- Contract
On behalf of our Banking client, Procom is searching for a Client Segment Strategy & Execution for a 12 month contract role. This position is a hybrid position with 3 days onsite at our…
Added 25 mins ago
CL
Business Development Manager- Warehousing & Logistics
Charger Logistics Inc.
Brampton, ON
- Full-time
…business by identifying new opportunities, building strong client relationships, and delivering tailored supply chain…
Added 25 mins ago
H
Project Director
Hays
AB · Edmonton, AB
- $165,000 to $200,000 CAD / year
- Full-time
…large project while supporting project teams, strengthening client relationships and ensuring projects are delivered successfully from both an operational and commercial…
Added 40 mins ago
SERVICE DESIGN CONSULTANT
City of Toronto
Toronto, ON
This role will support the evolution of the City's digital customer experience strategy through the modernization of service experiences, service design, human-centred design, robust change…
Added 40 mins ago
Workplace Services LeadWest/Canada
WPP
Toronto, ON
Leadership: Ability to lead through influence, establish clear client expectations to include stakeholder needs and hold service-provider leadership accountable for agreed outcomes.
Added 40 mins ago
RB
Director, Enterprise Integration Services – OneRBC: CNB Integration
Royal Bank of Canada
Toronto, ON
- Full-time
Join RBC's US CIO Technology Strategy and Architecture team as Director, Enterprise Integration Services for the OneRBC: CNB Integration program - a transformational, multi-year initiative…
Added 40 mins ago
RB
Marketing Manager, Client Communications
Royal Bank of Canada
Toronto, ON
- Full-time
RBC is looking for an experienced and passionate marketer to lead our email marketing program for RBC Direct Investing. You will own the end-to-end production and delivery of email…
Added 40 mins ago
RB
Senior Relationship Manager, Real Estate, SME
Royal Bank of Canada
Blainville, QC
- Full-time
Collaborate and coordinate with the various teams to develop and execute a client contact strategy
Added 40 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
The Business Analyst, Omnichannel Enablement supports data-driven healthcare marketing initiatives by translating client and stakeholder needs into clear requirements, solution plans, and…
Added 55 mins ago
VE
Operating Model & Organizational Consultant
VML Enterprise Solutions
Toronto, ON
- Full-time
…world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts…
Added 55 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
The Business Analyst, Omnichannel Enablement supports data-driven healthcare marketing initiatives by translating client and stakeholder needs into clear requirements, solution plans, and…
Added 55 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
Own the architecture, configuration, and lifecycle of client's Databricks environments across development, test, and production, including workspaces, account-level settings, networking,…
Added 55 mins ago
FO
Manager, Programs Outreach - Adaptation
Federation of Canadian Municipalities
Ottawa, ON · Hybrid - Ottawa
- Full-time
The ability to lead, mentor and coach a highly collaborative, dynamic team in an outcomes-focused, client service environment.
Added 55 mins ago
CO
SERVICE DESIGN CONSULTANT
City of Toronto
Toronto, ON
- Full-time
This role will support the evolution of the City's digital customer experience strategy through the modernization of service experiences, service design, human-centred design, robust change…

Univedge Consulting LLC

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: 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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