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Added 2 days ago
SL
Manager, Marketing Analytics and Insights
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…existing clients and group members. The Manager, Marketing Analytics & Insights will be responsible for managing marketing analytics, external digital funnel performance metrics, and…
Added 2 days ago
T
Salesforce Data360 Developer
TheCorporate
ON · Ontario, Canada
- Contract
We are seeking an experienced Salesforce Data Cloud Developer to design, implement, and optimize enterprise-scale customer data solutions using Salesforce Data Cloud. The ideal candidate…
Added 2 days ago
XS
Senior Databricks Architect
Xaxis Solutions
ON · Ontario, Canada
- Contract
Experience in AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics
Added 2 days ago
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ERP Business Analyst Dynamics 365 F&0
Techo-Bloc
Longueuil, QC
- Full-time
Reporting to the ERP Manager, you’ll be central to the ongoing evolution of our D365 F&O platform - supporting analysis, testing and implementation of new features across every major…
Added 2 days ago
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ERP Business Analyst Dynamics 365 F&O
Techo-Bloc
Longueuil, QC · Saint-Hubert, QC
- Full-time
Reporting to the ERP Manager, you’ll be central to the ongoing evolution of our D365 F&O platform - supporting analysis, testing and implementation of new features across every major…
Added 2 days ago
B
Senior Advisor, Marketing (Temporary 12-month)
Bombardier
Dorval, QC
- Temporary
E-commerce Platform Development: Lead the development and launch of a Shopify online store, from defining the user experience to bringing products online. Coordinate the various stages of…
Added 2 days ago
SC
Quality Coordinator – ALTO project / Cadence
SYSTRA Canada
Montreal, QC
- Full-time
We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and candidate matching. These tools do not make hiring decisions; all applications are reviewed by…
Added 2 days ago
AS
Backend Developer – Ruby & Golang
Ardent SoftSol Inc.
Toronto, ON
- Contract
This job posting is for an existing, active vacancy and we are looking to hire Backend Developer – Ruby & Golang at Toronto/ Brampton, ON who will design, build and maintain the backend…
Added 2 days ago
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Data Engineering Director - Vancouver
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Added 2 days ago
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Technical Lead Manager, ML Dataset Platform
Waabi
Toronto, ON
- $200,000 to $280,000 USD / year
- Full-time
As TLM of the ML Datasets Platform, you will play a critical role defining the APIs, tooling, and storage formats that make datasets a shared, first-class asset at Waabi: versioned,…
Added 2 days ago
LC
Manager, Software Engineering & AI
Loblaw Companies Limited
Brampton, ON · Toronto, ON
- Full-time
…collaborate with architecture, security, data, infrastructure, and platform teams, and communicate decisions, risks, and progress to technical and non-technical…
Added 2 days ago
AI Integration Engineer – Market Data & Entitlements
Capco
Toronto, ON
Experience as a Market Data Developer, API/Integration Engineer, Data Platform Engineer or AI Engineer with market-data exposure.
Added 2 days ago
IF
Data Scientist
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Do you enjoy turning data into practical solutions that transform the way people work? Join the Strategy and Analytics team within the Underwriting, New Business and Claims Vice-Presidency,…
Added 2 days ago
ZI
Snowflake Admin
ZENITH INFOTEK LLC
Markham, ON
- $95,000 to $115,000 CAD / year
- Full-time
Should be very good in Snowflake Platform Administration. Should have exposure to AWS Admin activities.
Added 2 days ago
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Frontend Developer
Hays
Toronto, ON
- Contract
Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Added 2 days ago
NS
Azure Databricks Solutions Architect
N2P Systems
Toronto, ON
- Full-time
We are seeking an experienced Azure Databricks Solutions Architect to lead enterprise-scale data architecture, engineering, analytics, and cloud modernization initiatives.
Added 2 days ago
B
Senior Specialist Supply Chain Planning and Optimization
Billennium
Laval, QC
- $55,000 to $70,000 CAD / year
- Full-time
Comprehensive benefits – enjoy Udemy for Business and Worksmile platform.
Added 2 days ago
BS
Azure Databricks Platform engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
Establish platform monitoring and observability using Azure Monitor, Log Analytics, Application Insights, Grafana, Prometheus, Datadog, Dynatrace, or New Relic as applicable.
Added 2 days ago
SW
Marketing Specialist
Search Wizards
Ottawa, ON
- $70,000 CAD / year
- Full-time
Analyze web, social, SEO, campaign and pipeline performance using HubSpot, SEMrush, Google Analytics and platform analytics; present monthly results and recommendations to the CRO and…
Added 2 days ago
Senior DevOps & Python Platform Engineering Specialist
Capgemini
Montreal, QC
DevOps & Python Platform Engineering Specialist
Added 2 days ago
CO
Manager, Performance Marketing - Paid Search & Display
Capital One
Toronto, ON
- Full-time
…accountable for their performance, working closely with our analytics, creative, data, legal, and technology teams to bring new strategies, optimizations, and reporting enhancements to…
Added 2 days ago
K
Senior Integration Developer
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
Added 2 days ago
K
Paid Social Manager
Klick
Toronto, ON
- Full-time
…communications, market access, real-world evidence, and technology and analytics consulting - powered by 500+ in-house medical experts and award-winning data science and AI capabilities.…
Added 2 days ago
Flight Centre - QA Engineer - Vancouver, BC
Flight Centre
BC
…practices across platforms including Nintex K2, Microsoft Power Platform, and Salesforce. You'll collaborate closely with Developers, Business Analysts, and Support teams while leveraging…
Added 2 days ago
Flight Centre - QA Engineer - Toronto, ON
Flight Centre
ON
…practices across platforms including Nintex K2, Microsoft Power Platform, and Salesforce. You'll collaborate closely with Developers, Business Analysts, and Support teams while leveraging…

N2P Systems

Azure Databricks Solutions Architect

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 5, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Data Engineering, Azure Data Platforms, and Cloud Modernization.
Posting language: English
Posted: Nov 5, 2026

Original job description

We are seeking an experienced Azure Databricks Solutions Architect to lead enterprise-scale data architecture, engineering, analytics, and cloud modernization initiatives.

The ideal candidate will bring extensive experience designing enterprise data platforms using Microsoft Azure and Databricks, with strong expertise in Lakehouse architecture, data engineering, data governance, and AI-enabled analytics.

You will work closely with business stakeholders, engineering teams, data specialists, and technology leaders to define end-to-end architecture, drive cloud transformation, and deliver scalable, secure, and high-performance data solutions.

Experience with Databricks Genie, Unity Catalog, Delta Lake, and modern Data Intelligence capabilities is particularly valuable.

Key Responsibilities

Define and lead end-to-end enterprise data architecture using Microsoft Azure and Databricks.
Design scalable Lakehouse architectures and modern data platforms using Azure Data Services, Azure Databricks, Delta Lake, and Unity Catalog.
Architect enterprise data ingestion, integration, ETL/ELT, batch processing, and streaming solutions.
Design AI-enabled analytics solutions using Databricks Genie, natural language analytics, semantic models, and governed data access.
Establish enterprise data governance, security, metadata management, data lineage, and observability standards.
Lead enterprise data platform modernization, cloud migration, and transformation initiatives.
Define architecture standards, reusable frameworks, reference architectures, and DataOps practices.
Provide technical leadership throughout solution design, development, testing, migration, deployment, and production readiness.
Conduct architecture reviews, assess technical risks, and recommend scalable and cost-effective solutions.
Drive platform performance optimization, reliability, and cloud cost management.
Collaborate with data engineers, AI specialists, cloud architects, platform teams, and client stakeholders.
Support client workshops, technical presentations, RFP responses, solutioning, and effort estimation.
Mentor architects and engineering teams while promoting technical excellence and best practices.

Required Qualifications & Technical Skills

14+ years of experience in Enterprise Data Architecture, Data Engineering, Azure Data Platforms, and Cloud Modernization.
Proven experience designing enterprise-scale solutions using Microsoft Azure and Databricks.
Strong hands-on expertise in:
Microsoft Azure Data Services
Azure Databricks
Databricks Genie
Unity Catalog
Delta Lake
Python, PySpark, and SQL
Extensive experience designing and implementing Lakehouse architectures and enterprise data platforms.
Strong understanding of the Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, Serverless, and performance optimization.
Experience developing AI-enabled analytics solutions using natural language analytics, semantic models, and governed data access.
Deep understanding of data engineering, including ETL/ELT, batch and streaming integration, APIs, orchestration, and data quality.
Strong knowledge of enterprise data architecture, data modeling, data products, semantic layers, and master/reference data management.
Experience implementing enterprise security, governance, and compliance controls, including IAM/RBAC, encryption, privacy, masking, auditing, and data retention.
Proven experience in architecture definition, HLD/LLD documentation, NFR assessment, migration planning, and technical governance.
Experience supporting cloud transformation, solution architecture, RFP responses, effort estimation, and client-facing discussions.
Understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.

Preferred Qualifications

Azure Solutions Architect, Azure Data Engineering, or Databricks certifications.
Experience with Databricks Genie and AI-powered analytics implementations.
Knowledge of responsible AI practices and enterprise AI governance.
Experience with advanced data governance, metadata, lineage, and DataOps frameworks.
Enterprise Architecture or Data Management certifications.

Leadership & Consulting Expectations

Strong leadership and stakeholder management capabilities.
Excellent communication and presentation skills across technical and executive audiences.
Ability to lead cross-functional and geographically distributed teams.
Strong consulting mindset with the ability to translate business requirements into technical architectures.
Experience mentoring architects and engineers and developing technical capabilities.
Ability to manage project risks, dependencies, escalations, and competing priorities.
Strong client-facing experience conducting architecture workshops and technical presentations.

Apply About employer

More about this job

Responsibilities

Lead enterprise data architecture and platform modernization using Azure and Databricks, including Lakehouse design, data integration, AI-enabled analytics, governance, security, and performance optimization. Provide technical and consulting leadership across solution delivery, architecture reviews, client engagements, and mentoring of architects and engineering teams.

Requirements

Requires 14 or more years of experience in enterprise data architecture, data engineering, Azure data platforms, and cloud modernization, with hands-on expertise in Azure, Databricks, Python, PySpark, and SQL. Candidates should have strong experience with Lakehouse platforms, data governance and security, AI-enabled analytics, architecture documentation, client-facing consulting, and BFSI requirements; a bachelor's degree in a related discipline is required.

Skills

Azure Data Services
Azure Databricks
Lakehouse Architecture
Databricks Genie
Unity Catalog
Delta Lake
Python
PySpark
SQL
Data Engineering
Data Governance
ETL/ELT
Data Modeling
Cloud Modernization
AI-Enabled Analytics
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Azure Data Services
Azure Databricks
Databricks Genie
Unity Catalog
Delta Lake
Databricks SQL
Workflows
Lakeflow
MLflow
Serverless
Python
PySpark
SQL
Lakehouse Architecture
ETL/ELT
Batch Processing
Streaming Integration
Data Governance
DataOps
Data Lineage
Metadata Management
Data Modeling
Semantic Models
Natural Language Analytics
AI Governance
Cloud Migration
BFSI
IAM/RBAC

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