Jobs in Canada

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Added 1 month ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Collaborate with the team to design and implement AI solutions for anomaly detection and payments process automation.
Added 1 month ago
VM
QA Engineer
Vivid Machines
Toronto, ON
- Full-time
As an Intermediate QA Engineer, you will own the end-to-end Software Testing Life Cycle across our whole product: web applications, mobile apps, backend services, and the camera hardware…
Added 1 month ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Provide recommendations for platform maturity, automation, CI/CD, observability, and ongoing governance.
Added 1 month ago
SO
Sr. Software Engineer
Spirit Omega Inc.
Remote, Canada
- $77 to $85 CAD / hour
- Contract
- Remote
· Exposure to Python for scripting, automation, or supporting integration utilities.
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Location: Kamloos, Canada (Onsite - Four Days Per Week)
Added 1 month ago
ES
Cloud Engineer
Euna Solutions
ON · Oakville, Ontario
- Full-time
…SaaS products used by public sector organizations. As a Cloud Engineer, you will own cloud infrastructure design, provisioning, automation, and compliance across multiple product lines,…
Added 1 month ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
…and promotions. The project team needs a seasoned Senior Data Engineer to help lead the charge, stabilize key deliverables, and guide our technical strategy. This is a critical engagement…
Added 1 month ago
BP
Senior Production Engineer Scheduling
BNP Paribas
Montreal, QC
- Full-time
In-office presence is required a minimum of 3 days per week, one of which must be on a Monday and/or a Friday
Added 1 month ago
N
Staff Optical Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Drive test automation initiatives by developing and maintaining robust Python-based scripts to significantly enhance testing efficiency and coverage.
Added 1 month ago
B
Principal Cloud Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic, passionate professional for a Principal Cloud Engineer position with 8+ years of experience in multiple large scale Azure enterprise environments. We are…
Added 1 month ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
The CoCounsel Agent Context team is seeking a Staff Software Engineer to set the technical direction for Content Tools - the purpose-built APIs that give AI agents precise, governed access…
Added 1 month ago
FT
Lead Software Engineer
Franklin Templeton
Toronto, ON
- Full-time
Focus on automation, new Snowflake capabilities, and AI-assisted development
Added 1 month ago
V
DevOps Engineer
Varonis
Vancouver, BC
- Full-time
Proficiency in scripting (Python or Bash) for automation.
Added 1 month ago
LT
Automation and Build Developer II
LMI Technologies
Burnaby, BC
- Full-time
Join our Software Operations team as a Build & Test Automation Engineer and become the engine behind how our code gets from a developer's keyboard to a sensor on that line.
Added 1 month ago
DS
Senior Network Engineer
Dacaro Services
Toronto, ON · Greater Toronto Area, Canada
- Contract
Network Engineer – Cisco Secure Workload (Network Segmentation) Project
Added 1 month ago
LT
Automation and Build Developer II
LMI Technologies
Burnaby, BC
- $75,200 to $107,160 CAD / year
- Full-time
Join our Software Operations team as a Build & Test Automation Engineer and become the engine behind how our code gets from a developer's keyboard to a sensor on that line.
Added 1 month ago
T
Sr. Platform Engineer, TD Securities
TD
Toronto, ON
- Full-time
Proficient in programming skills for automation: Unix shell scripting, python or other programming language
Added 1 month ago
KC
Site Reliability Engineer
KPMG Canada
Vaughan, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 1 month ago
AL
Principal Product Applications Engineer - Scorpio
Astera Labs
Vancouver, BC
- Full-time
Scripting and automation experience (Python, shell) for validation and diagnostics
Added 1 month ago
HB
Platform Engineer
Hunter Bond
Montreal, QC
- Full-time
Develop automation for provisioning, configuration management and infrastructure lifecycle.
Added 1 month ago
GS
Administrateur Stockage (Senior)
Groupe SII
Montreal, QC
- Full-time
Contribuer à des initiatives DevOps (Python, Flask, Git, Ansible, etc.)
Added 1 month ago
GM
Senior Software Engineering - Protocol Operations & Trust
General Motors
Markham, ON
- Full-time
What You Must Have:
Added 1 month ago
eTrading Full Stack Engineering - Network
HSBC Global Services Limited
Toronto, ON
Build network automation with Ansible and a high-level language such as Python or Java including application programming interface (API)-driven configuration and data validation
Added 1 month ago
eTrading Full Stack Engineering - Compute
HSBC Global Services Limited
Toronto, ON
Bring strong automation skills with Ansible and a high-level language such as Python or Java including application programming interface (API) integration, idempotent configuration and…
Added 1 month ago
N
Senior Cloud Systems Engineer (CI/CD & Data Platform)
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Senior Cloud Systems Engineer to lead the design, automation, and operation of enterprise cloud platforms across AWS and Azure. This role combines deep expertise in…

New Value Solutions

Databricks Architect (ID#5473)

Vancouver, BC, Canada
Greater Vancouver, BC, Canada

Contract

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Job details

Job type: Contract
Posting language: English
Posted: Oct 6, 2026

Original job description

New Value Solutions, a national IT consulting company, is seeking a Databricks Architect to design, lead implementation, and operationalize a secure, scalable Databricks foundation, with a strong focus on Unity Catalog, data governance, platform security, workspace architecture, storage integration, identity and access management, and production-ready data engineering patterns.

The successful candidate will work with data engineering, cloud infrastructure, security, governance, and business teams to establish an enterprise-grade Databricks environment that supports analytics, machine learning, data products, and governed self-service access.

Unity Catalog is Databricks’ unified governance layer for data and AI assets, providing centralized access control, lineage, discovery, auditing, and governance capabilities across Databricks workspaces

Responsibilities:

Databricks Foundation Implementation

Design and lead implementation of the core Databricks platform foundation across development, test, and production environments.
Define workspace architecture, naming standards, environment separation, identity model, network design, and workspace lifecycle management.
Configure Databricks account-level settings, workspaces, groups, service principals, credentials, access policies, and administrative controls.
Establish best practices for cluster policies, SQL warehouses, jobs, workflows, repos, secrets, and compute governance.
Lead Implementation of platform standards for scalability, cost control, monitoring, operational support, and production readiness.

Unity Catalog Design and Implementation

Design and deploy Unity Catalog as the enterprise governance layer for Databricks.
Define the Unity Catalog metastore strategy, catalog, and schema structure, naming conventions, ownership model, and environment separation.
Configure catalogs, schemas, tables, views, volumes, external locations, storage credentials, and permissions.
Implement fine-grained access control using Unity Catalog privileges, groups, service principals, row filters, column masks, and attribute-based access controls where applicable.
Establish governed data access patterns for data engineers, analysts, data scientists, and business users.
Enable data discovery, lineage, auditability, and data asset management using Unity Catalog capabilities. Unity Catalog supports access control, discovery, lineage, auditing, governed tags, data classification, quality monitoring, data sharing, and AI governance

Cloud Storage and Security Integration

Design secure integration between Databricks and cloud storage platforms such as ADLS Gen2, AWS S3, or Google Cloud Storage.
Configure storage credentials, external locations, managed storage, and secure access patterns.
Work with cloud infrastructure and cybersecurity teams to implement networking, private endpoints, encryption, firewall rules, secrets management, and least-privilege access.
Ensure alignment with enterprise security, privacy, compliance, and data governance requirements.

Data Engineering Enablement

Define recommended patterns for Delta Lake, medallion architecture, streaming, batch processing, and data product development.
Support migration of existing tables, data pipelines, notebooks, and workflows to Unity Catalog-enabled architecture.
Advise teams on managed versus external tables, external volumes, schema design, permissions, and lifecycle management.
Create reusable templates, standards, and implementation guides for Databricks development teams.

Governance, Operations, and Documentation

Document Databricks platform architecture, Unity Catalog design, security model, operational procedures, and support processes.
Develop runbooks for workspace administration, access provisioning, incident response, job monitoring, and cost management.
Define roles and responsibilities for platform administrators, data owners, data stewards, engineers, and consumers.
Support knowledge transfer and training for internal teams.
Provide recommendations for platform maturity, automation, CI/CD, observability, and ongoing governance.

Requirements:

Strong hands-on experience implementing and administering Databricks in an enterprise environment.
Proven experience designing and implementing Unity Catalog.
Deep understanding of Databricks account architecture, workspaces, metastores, catalogs, schemas, tables, views, volumes, external locations, storage credentials, and access controls.
Experience with cloud data platforms such as Azure Databricks and ADLS Gen2, or Databricks on AWS with S3, or Databricks on Google Cloud.
Strong knowledge of data governance, metadata management, access control, data lineage, auditing, and data classification.
Experience with Delta Lake, Spark, SQL, Python, notebooks, jobs, workflows, and data engineering pipelines.
Knowledge of identity and access management, including Entra ID / Azure AD, SCIM provisioning, service principals, groups, and role-based access control.
Experience defining cluster policies, compute standards, SQL warehouses, cost controls, and operational guardrails.
Ability to work with infrastructure, security, data governance, and application teams.
Strong documentation, communication, and stakeholder management skills.

Preferred:

Databricks Certified Data Engineer Professional
Databricks platform administration experience.
Experience implementing Databricks using Infrastructure as Code, such as Terraform, Azure DevOps, GitHub Actions, or CI/CD pipelines.
Experience with enterprise data governance frameworks, data stewardship, data cataloging, privacy, and compliance.
Experience with Power BI, Microsoft Fabric, Azure Synapse, Azure Data Factory, Purview, or other Microsoft data ecosystem tools.
Experience designing medallion architecture, lakehouse architecture, or enterprise data platform operating models.

If you have this expertise, and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted.

ID# 5473

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More about this job

Responsibilities

Design and implement a secure, scalable Databricks platform across development, test, and production environments, including workspace architecture, Unity Catalog governance, cloud storage integration, and access controls. Establish data engineering standards, operational procedures, documentation, and training to support governed analytics, machine learning, and data products.

Requirements

Requires strong enterprise experience administering Databricks and implementing Unity Catalog, with deep knowledge of cloud data platforms, governance, security, identity management, and data engineering tools such as Delta Lake, Spark, SQL, and Python. Strong documentation and stakeholder skills are required; Databricks certification, Infrastructure as Code, CI/CD, and Microsoft data ecosystem experience are preferred.

Skills

Databricks Architecture
Unity Catalog
Data Governance
Platform Security
Workspace Architecture
Cloud Storage Integration
Identity and Access Management
Delta Lake
Apache Spark
SQL
Python
Data Engineering
Access Control
Infrastructure as Code
CI/CD
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Unity Catalog
Azure Databricks
ADLS Gen2
Amazon S3
Google Cloud Storage
Delta Lake
Apache Spark
SQL
Python
Data Governance
Metadata Management
Data Lineage
Access Control
Identity and Access Management
Entra ID
Azure Active Directory
SCIM Provisioning
Service Principals
Medallion Architecture
Lakehouse Architecture
Infrastructure as Code
Terraform
Azure DevOps
GitHub Actions
CI/CD
Power BI
Microsoft Fabric
Azure Synapse
Azure Data Factory

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Jobs in Canada