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Added 1 month ago
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Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning…
Added 1 month ago
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Senior Data Engineer
Scene+
Toronto, ON
- Full-time
…provide personalized rewards and create meaningful connections with our…
Added 1 month ago
IC
Forward Deployed AI Engineer – System Test Automation
Infomatics Corp
Ottawa, ON
- Contract
We are seeking a Forward Deployed AI Engineer (FDE) to accelerate the real-world adoption of AI within our End-to-End System Test Automation. This role focuses on taking AI tools and…
Added 1 month ago
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AI Engineer (Agentic Systems)
HCLTech
Canada
- Full-time
Python (primary for AI pipelines, LangChain, asynchronous processing).
Added 1 month ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
…to keep learning, consider starting or growing your career with us at The Home…
Added 1 month ago
SA
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, ON
- Full-time
Scripting experience with Bash and/or Python.
Added 1 month ago
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Senior Software Engineer, Applied AI & Customer Solutions
Udemy
Toronto, ON
- Full-time
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 1 month ago
Software Engineer, Web3 Backend
Robinhood
Toronto, ON
Expertise in backend development using languages such as Go, Python, or Java, with a solid grasp of cloud-native architectures.
Added 1 month ago
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AI Workflow & Operations Intern
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
…and making them work better. You don’t need to be a software engineer - but you do need to be comfortable with data, curious about AI, and motivated by operational impact. If you’ve ever…
Added 1 month ago
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Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
…help fleets streamline operations, control costs, and operate with…
Added 1 month ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
Calgary, AB
- Full-time
You will work with technologies such as React, TypeScript, Node.js/Python/.NET, Azure, Terraform/Bicep, and GitHub Actions to deliver enterprise-grade solutions while helping establish…
Added 1 month ago
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Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
A hands-on platform engineer who combines AWS administration, DevOps automation, Site Reliability Engineering, observability, security, and cloud operations expertise. The candidate should…
Added 1 month ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 1 month ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 1 month ago
DevOps Engineer
Varonis
Canada
…critical data, removes exposures, and detects advanced threats with AI-powered…
Added 1 month ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part…
Added 1 month ago
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Security Engineer
LiveKit
Canada
- Full-time
Strong scripting and automation skills in a language such as Go or Python, and fluency with infrastructure as code such as Terraform.
Added 1 month ago
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Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
We believe in empowering people. That’s why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part…
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Software Developer Engineer in Test, SDET, AI Test Engineer, Quality Assurance Engineer, Test Automation, Machine Learning QA, Python, LLM Testing, Model Context Protocol, Construction…
Added 1 month ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
As a Staff Cloud Security Engineer, you'll help shape the technical direction of Cloud Security and drive complex architectural investments across our AWS and GCP environments. You'll work…
Added 1 month ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 1 month ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
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
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Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Experience with Delta Lake, Spark, SQL, Python, notebooks, jobs, workflows, and data engineering pipelines.
Added 1 month ago
TI
AI Software Development Engineer in Test
Trimble Inc.
Kamloops, BC
- Full-time
Software Developer Engineer in Test, SDET, AI Test Engineer, Quality Assurance Engineer, Test Automation, Machine Learning QA, Python, LLM Testing, Model Context Protocol, Construction…

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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