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Added 9 mins ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 9 mins ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
…complex context packing, and integrates frontier models with enterprise data to automate high-stakes M&A…
Added 9 mins ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
…trusted advisor to executives, helping organizations shape enterprise data strategies, modernize data ecosystems, and establish AI-ready…
Added 9 mins ago
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Software Development Engineer in Test, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Collaborate closely with our agile, multi-functional engineering team to build a robust, enterprise-grade SaaS contract management platform.
Added 9 mins ago
Product Manager, Terminal Payments
Stripe
Toronto, ON
…platform for global enterprises. The platform offers a single integration for in-person payments, fast and low-cost cross-border money movement, AI-powered optimizations and fraud…
Added 24 mins ago
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Senior DevOps Developer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking a Senior DevOps Developer - within the Boeing Digital Services portfolio, reporting to the Manager of Software Development. This position is based in our…
Added 24 mins ago
NC
Senior GIS Analyst (PFT) (CUPE 80.26) internal
Norfolk County
Remote, Canada
- Full-time
- Remote
…County. You’ll leverage GIS technologies, automation, and data integration to improve decision-making, enhance operational efficiency, and deliver reliable, user-friendly geospatial…
Added 24 mins ago
Senior Analyst, Identity Lifecycle Management
Scotiabank
Toronto, ON
…management of privileged access, as well as the selection and integration of identity management…
Added 24 mins ago
Manager, Identity Lifecycle Management
Scotiabank
Toronto, ON
…management of privileged access, as well as the selection and integration of identity management…
Added 24 mins ago
S
Systems Analyst III
Seaspan
North Vancouver, BC
- Full-time
Designs, develops, supports, monitors, and troubleshoots OIC integrations between Oracle Fusion and other enterprise applications, including APIs, web services, file-based interfaces, data…
Added 24 mins ago
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Directeur(trice) / Director - Digital Platforms & Delivery Excellence
Genetec
Montreal, QC
- Full-time
Travailler en étroite collaboration avec les équipes chargées de la plateforme API et de l'intégration afin d'harmoniser les normes, les outils et les approches de mise en œuvre
Added 24 mins ago
RS
Application Analyst - C / Sybase
Radiant Systems Solutions, Inc
AB · Edmonton, AB
- Contract
Conduct unit testing, system testing and integration testing.
Added 25 mins ago
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Spécialiste de Solutions IA
DELAN - IT Talent Solutions
Montreal, QC
- Full-time
Connaissance de Git et de l'intégration et du déploiement continus (CI/CD)
Added 25 mins ago
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Senior Data Architect
Synechron
Montreal, QC
- Full-time
…pour les environnements lakehouse, d’entrepôt de données, d’intégration, de gouvernance et d’analytique, tout en offrant un leadership technique aux équipes de réalisation et aux parties…
Added 39 mins ago
Workplace Services LeadWest/Canada
WPP
Toronto, ON
…world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic…
Added 39 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 39 mins ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Experience working with enterprise grade CRM and engagement platforms, or cloud platforms such as Salesforce ( Data Cloud, Health Cloud, SalesCloud, Marketing Cloud), Veeva CRM, Adobe…
Added 54 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
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 54 mins ago
NC
Senior GIS Analyst (PFT) (CUPE 80.26) internal
Norfolk County
ON · Simcoe, ON
- Full-time
…County. You'll leverage GIS technologies, automation, and data integration to improve decision-making, enhance operational efficiency, and deliver reliable, user-friendly geospatial…
Added 54 mins ago
SI
Observability Engineer
Siri InfoSolutions, Inc.
Montreal, QC
- Contract
Build and support the modernization and integration of observability tools in private and public cloud offerings (GCP, AKS, EKS).
Added 54 mins ago
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Gestionnaire de Formation / Training Manager
Genetec
Montreal, QC
- Full-time
Participer au recrutement, à la sélection, à l'intégration et au perfectionnement des formateurs techniques et des chefs d'équipe
Added 1 hour ago
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IT Operations Analyst II
TD
Toronto, ON
- Full-time
Provide seamless integration of activities and processes, recognizing system interdependencies
Added 1 hour ago
RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
A leading global financial institution is seeking an experienced QA Consultant specializing in Treasury, Payments, and Transaction Services to join its enterprise technology team.
Added 1 hour ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
…systems, AI-assisted software development, intelligent automation, enterprise integration, and business process transformation. Frontier Deployed Engineers move beyond experimentation by…
Added 1 hour ago
C
Senior Software Engineer Technical Remediation & Enablement
Citi
Mississauga, ON
- Full-time
…driving the direct remediation of software vulnerabilities across enterprise application teams. This individual contributor / team-level technical lead works alongside application…

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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