toronto, on databricks solution architect Jobs – 111 Openings This Week

Senior Data Engineer – Data Products & Modeling
Bridgenext Digital Engineering —Toronto, ON
- $125,000–$140,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
Principle Azure Data Solution Engineer
Microsoft —Toronto, ON
- $128,000–$222,400 a year
- Full-time
- Azure
- Oracle
- Computer Science
8d
Lead Data Engineer, Associate Director (Toronto)
Fitch Group —Toronto, ON
- $120,000–$155,000 a year
- Hybrid work
- Java
- Databases
- AWS
- Tuition reimbursement
Staff ML Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Senior Solution Architect - Enterprise Data and AI platform
Intact —Toronto, ON
- $128,300–$156,800 a year
- Full-time
- Hybrid work
- Bilingual
- No experience needed
- English
- Employee stock purchase plan
4d
Senior Principal Data Architect - Data Warehousing & Engineering
Questrade Financial Group —Toronto, ON
- $136,000–$170,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Senior Data Engineer – Data Products & Modeling
Bridgenext —Toronto, ON
- $125,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior Data Specialist
McKesson —Mississauga, ON
- $99,100–$132,100 a year
- Azure
- Management
- SQL
3d
Customer Engineer, Data Analytics, Google Cloud
Google —Toronto, ON
- $194,000–$199,000 a year
- Full-time
- Sales
- Java
- SQL
9d
Data Engineer
Redpath Mining —Vaughan, ON
- Overtime
- Azure
- Computer Science
- Engineering
Lead Data Architect – Data & AI Platform
McKesson —Mississauga, ON
- $122,100–$162,800 a year
- Azure
- Computer Science
- Engineering
2d
Manager - AI and Data - Toronto
EY —Toronto, ON
- $114,000–$171,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
Lead Data Engineer
McKesson —Mississauga, ON
- Azure
- Management
- Doctoral degree
Senior Data Insights Consultant
VML MAP —Toronto, ON
- $90,000–$140,000 a year
- English
- SQL
- Analysis skills
Data Architect
Konrad —Toronto, ON
- $120,000–$150,000 a year
- Hybrid work
- Databases
- Presentation skills
- Machine learning
- Work from home
- Flexible schedule
Quick apply
Financial Analyst
Samsara —Toronto, ON
- $68,000–$88,000 a year
- Remote
- Microsoft Excel
- Finance
- SQL
7d
Director, Field Engineering
Databricks —Toronto, ON
- $221,200–$304,150 a year
- Computer Science
- Sales
- Engineering
9d
Senior Manager, Collections Technology, MIS
Scotiabank —Toronto, ON
- Azure
- SQL
- Analysis skills
- Profit sharing
Data Engineer
HAVI Logistics GmbH —Toronto, ON
- $95,000–$110,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Profit sharing
- Designated paid holidays
Senior Data Engineer
ZoomInfo Technologies LLC —Toronto, ON
- Remote
- SQL
- AWS
- Python
12d

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databricks solution architect jobs near toronto, on

Senior Data Engineer – Data Products & Modeling

Bridgenext Digital Engineering -
Toronto, ON

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Job details

Full-time | Fixed term contract
$125,000–$140,000 a year

Qualifications

CI/CD
Power BI
Data modeling
Azure
Computer Science
DevOps
Information Systems
SQL
AWS
Bachelor's
GitHub
APIs
Metadata
Business requirements
Jenkins
Communication skills
Data warehouse
Analytics
Design patterns

Full job description

Company Overview:

Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.

Position Description:

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics-ready. The role owns the full lifecycle of data products from translating business concepts into well-defined data models, to engineering pipelines that deliver curated, reusable, and trusted data products for analytics, reporting, and downstream integration.

The ideal candidate is equally strong in data design, pipeline engineering, and product thinking, with a focus on delivering high-quality data as a product to consumers across the organization.

Responsibilities / Individual Accountabilities:

Partner with business stakeholders and analytics teams to define data products that align to business domains, use cases, and outcomes
Translate business requirements into well-defined data entities, relationships, and metrics, and engineer data products that implement those models end to end
Design and maintain conceptual, logical, and physical data models that underpin scalable and reusable data products
Build and optimize batch and near–real-time data pipelines in Azure using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake, and Azure SQL
Engineer curated, analytics-ready data products optimized for BI, reporting, APIs, and OLAP consumption (e.g., Power BI)
Create, manage, and evolve data models using ERwin or PowerDesigner, ensuring consistency and alignment across data products
Define and maintain data product metadata, including data definitions, lineage, ownership, and quality expectations
Perform reverse engineering and model reconciliation to align existing datasets and pipelines with logical models and product intent
Apply CI/CD and DevOps practices to data pipelines, schemas, and data products using Azure DevOps, GitHub, or Jenkins
Collaborate closely with engineers, architects, analysts, and product teams to ensure data products are discoverable, trusted, and well understood
Identify opportunities to standardize, reuse, and evolve data products across domains and initiatives
Mentor team members and contribute to enterprise standards for data modeling, engineering, and data product delivery

Workplace: Hybrid ( 2 days in office) role in downtown Toronto. Open to those interest in FT employment as well as Contractors (initial 6 mos contract with strong potential for extension)

Must Have Skills:

Bachelor’s degree in Computer Science, Information Systems, or a related field
8+ years of experience spanning data engineering and data modeling
Strong hands-on experience with Databricks on Microsoft Azure or AWS
Proven expertise with Erwin and/or PowerDesigner
Solid understanding of data warehousing, dimensional modeling, and analytics design patterns
Experience delivering data using data product–oriented approaches (curated layers, semantic models, governed datasets)
Experience implementing CI/CD and DevOps for data platforms
Strong communication skills with the ability to clearly articulate data product design and usage to technical and non-technical audiences

Professional Skills:

Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $125,000 - $140,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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databricks solution architect jobs in toronto, on

Senior Data Engineer – Data Products & Modeling

Principle Azure Data Solution Engineer

Lead Data Engineer, Associate Director (Toronto)

Staff ML Data Engineer

Senior Solution Architect - Enterprise Data and AI platform

Senior Principal Data Architect - Data Warehousing & Engineering

Senior Data Engineer – Data Products & Modeling

Senior Data Specialist

Customer Engineer, Data Analytics, Google Cloud

Data Engineer

Lead Data Architect – Data & AI Platform

Manager - AI and Data - Toronto

Lead Data Engineer

Senior Data Insights Consultant

Data Architect

Financial Analyst

Director, Field Engineering

Senior Manager, Collections Technology, MIS

Data Engineer

Senior Data Engineer

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