Toronto On Solution architect databricks Jobs – 112 Openings This Week

Lead AI Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- System design
5d
Senior Data Engineer
Samsara —Toronto, ON
- $119,000–$154,000 a year
- Remote
- Azure
- Oracle
- Computer Science
Data Team Lead
Redpath Mining —Vaughan, ON
- Overtime
- Azure
- Computer Science
- DevOps
Director of Commercial Data Engineering
Scotiabank —Scarborough, ON
- Azure
- Computer Science
- PMP
- Tuition reimbursement
Lead Business Systems Consultant, Core Data
IMCO —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Sr. AI Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)
Pratt & Whitney —Toronto, ON
- $188,700–$238,700 a year
- Full-time
- Remote
- Computer Science
- Engineering
- English
- Wellness program
- Dental care
Senior Professional Services Consultant
Ataccama —Toronto, ON
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- English
- Databases
- Dental care
- Paid time off
4d
Data Engineer
Adastra Corporation —Markham, ON
- Full-time
- Azure
- Computer Science
- Engineering
7d
Mgr, Credit Perf & Gov
Rogers Communications —Toronto, ON
- Full-time
- Azure
- Computer Science
- SQL
- Dental care
- Paid time off
Lead Product Manager
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Senior Platform Engineer, Vice President
State Street —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
5d
Director, Lakebase Sales Specialist
Databricks —Toronto, ON
- Sales
- Presentation skills
- APIs

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RPA Developer
MSi Corp. —Mississauga, ON
Effectuer des tests de bout en bout et résoudre les problèmes pour garantir la précision et la fiabilité des solutions. Job Type: Fixed term contract.
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Director of Commercial Data Engineering
Scotiabank —Scarborough, ON
Undergraduate degree in Computer Science, Engineering, or related discipline or equivalent experience preferred; advanced degree or masters an asset.
Data Engineer
Adastra Corporation —Markham, ON
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. Employment Type: Full-Time or Contractor.
7d

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solution architect databricks jobs near toronto on

Lead AI Engineer

Royal Bank of Canada -
Toronto, ON

Apply Now

Job details

Full-time
5 days ago

Qualifications

Jira
French
Node.js
Law
Computer Science
Software Engineering
MCP
Relational databases
Engineering
C#
System design
Git
Tableau
.NET
Java
Microservices
SQL
AWS
C++
Machine learning
Confluence
Distributed systems
REST
Django
APIs
Agile
S3
Kafka
Flask
AI
Jenkins
Python
Analytics
Hadoop

Full job description

Job Description

What is the opportunity?

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a talented Data & AI Engineer to build cutting edge AI and data solutions. The role will be responsible for building and managing AI platforms and data pipelines for global operations.

What will you do?

You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing technical documentations.
Build data products using structured and unstructured data to deliver AI solutions. Ensure data quality, performance, scalability.
Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production.
Partner with enterprise architect to create data and AI technology architectures. Provide Gen AI subject matter expertise in technical system design, development, and implementation of AI applications.
Contribute to production efforts via data pipelines, reusable frameworks, distributed computing, and documentations.

What do you need to succeed?

Must have:

Degree in Computer Science or Software Engineering related technical field
7+ years of experience in development, designing and developing robust scalable REST API, microservices, and data pipelines in production
Advanced SQL knowledge and data engineering experience working with relational databases
High proficiency using Python for data and AI engineering, experience building end to end ML pipelines include data ingestion, data transformation, feature engineering, model inference and deployment in production
Expertise in Generative AI and Machine Learning service integrations. Familiar with Gen AI tech stack (LLMs, Agents, MCP Servers)

Nice-to-have:

Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines, and data streaming
Experience in building data products for analytics visualizations
Experience using AWS Sagemaker, S3, Snowflake, Databrick, Airflow, Hadoop, PySpark
Familiar with Dev Ops and Microservices tools such as Git, Jenkins, Vault, Node.JS, Flask, Django, Kafka
Past experiences with one of the Object-Oriented development languages such as: C++, C# .NET, or Java
Familiar with JIRA, Confluence, Agile/Scrum development methodology
Ability to read and write in the French language is a plus

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work

#LI-Post

#TechPJ

Job Skills

Agile Methodology, AI Prompting, Cloud Computing, Database Development, Data Pipelines, Data Warehousing (DW), Feature Engineering, Generative AI, Machine Learning (ML), Python (Programming Language), Quality Management, Snowflake (Platform), Structured Query Language (SQL), Tableau (Software)

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-22

Application Deadline:

2026-08-06

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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solution architect databricks jobs in toronto on

Lead AI Engineer

Senior Data Engineer

Data Team Lead

Director of Commercial Data Engineering

Lead Business Systems Consultant, Core Data

Sr. AI Engineer

Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)

Senior Professional Services Consultant

Data Engineer

Mgr, Credit Perf & Gov

Lead Product Manager

Senior Platform Engineer, Vice President

Director, Lakebase Sales Specialist

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