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Added 10 mins ago
BV
Data Engineer (Sports & Prediction Markets)
Betstamp Ventures
Toronto, ON
- Internship
Betstamp Ventures spans iGaming technology, market data and odds pricing, trading and market making, and acquisition and media. We price 200+ sportsbooks, operate a portfolio of consumer…
Added 10 mins ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
…Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing delivery…
Added 11 mins ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work…
Added 11 mins ago
LB
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
- Full-time
We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 11 mins ago
S
Product Manager - SOTI MobiControl
SOTI
Mississauga, ON
- $110,000 to $130,000 CAD / year
- Full-time
…importantly, be part of a winning team. As the successful Senior Product Manager, you will be responsible for taking ownership of the product line life cycle from strategic planning to…
Added 11 mins ago
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DevOps Team Lead
Pixieset
Vancouver, BC
- Full-time
Lead infrastructure initiatives through discovery, planning, implementation, rollout, and ongoing operation, working with product teams to define outcomes and responsibilities.
Added 26 mins ago
C
Forward Deployed Engineer, Infrastructure Specialist (North America)
Cohere
Remote, Canada
- Full-time
- Remote
…companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with…
Added 40 mins ago
T
Cyber Security Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
- Full-time
Cyber Security Risk Officers analyze, report on, and mitigate risks related to technology, data, vendors, applications, infrastructure, information, and Cloud. Each of the Cyber Security…
Added 40 mins ago
MI
Quality Engineer
Marmon Industrial Water
Burlington, ON
- Full-time
As a Quality Engineer, you will act as the project Quality Lead for new projects and maintain responsibility for performing the project’s Quality documentation, and inspection activities.…
Added 40 mins ago
NM
Reliability Engineering
Natus Medical Incorporated
Oakville, ON
- Full-time
We are seeking an experienced Reliability Engineer to lead product reliability activities and help ensure our neurology medical devices and applications consistently deliver their intended…
Added 40 mins ago
SP
Manager, Product, Pricing & Integrations Operations
Salesforce Partner Canada
Toronto, ON
- Full-time
You've taken new products or pricing models from packaging concept to launch as a product manager or engineer.
Added 40 mins ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work…
Added 1 hour ago
HP
HPC & AI Software - Engineering Resolution Engineer
Hewlett Packard Enterprise
Mississauga, ON
- $118,500 to $168,500 CAD / year
- Full-time
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 1 hour ago
Electrical/Electronic Design Engineer
National Research Council Canada
Ottawa, ON
We are looking for a Vehicle Power and Energy Systems Engineer to support the Automotive and Surface Transportation (AST) Research Centre. The successful candidate would be someone who…
Added 1 hour ago
P
Sr. React Native Engineer | US/Canada
Pack.com
Remote, Canada
- Remote
In our ecosystem, fluid animations and instant responsiveness are not cosmetic afterthoughts - they are the core product. We need a mobile engineer who treats 60fps as the bare minimum,…
Added 1 hour ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 1 hour ago
M
Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
We're at the forefront of AI as the foundation of our product. Motion now automatically analyzes and organizes creative at scale and surfaces competitor trends. And with Runneth - the AI…
Added 1 hour ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
Added 1 hour ago
HA
Intern Bachelors Test Eng
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
The successful candidate will join the Honeywell Aerospace SATCOM Test Systems organization as a Qualification Test Engineer Intern. In the role of Qualification Test Engineer Intern,…
Added 1 hour ago
IG
Junior Field Applications Engineer – Data Center & Enterprise Markets
IntelliPro Group Inc.
Canada
- Full-time
A growing global semiconductor company specializing in analog and power management solutions is seeking a Junior Field Applications Engineer to support its expanding U.S. customer base.
Added 1 hour ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
…relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign,…
Added 1 hour ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 1 hour ago
W
Software Development Engineer in Test, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Partner with software developers and product managers to define features and establish criteria for verifying correct implementation, fostering a quality-first attitude throughout the…
Added 1 hour ago
EM
Process Engineer - SMT Support
Evertz Microsystems Limited
Burlington, ON
- Full-time
The Process Engineer - SMT Support is responsible for developing, optimizing, and sustaining surface mount technology (SMT) manufacturing processes used in the production of broadcast and…
Added 1 hour ago
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Senior Mixed Signal Design Engineer
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
…team and help move the needle! We are looking for a senior engineer to be part of the mixed-signal design team building next generation NVLINK. This position offers the opportunity to have…

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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