Toronto, On Databricks solution architect Jobs – 114 Openings This Week

Program Manager / Delivery Lead - Data Products & AI Platforms
Bridgenext Digital Engineering —Toronto, ON
- $130,000–$160,000 a year
- Full-time
- Computer Science
- PMP
- DevOps
8d
Director, Field Engineering
Databricks —Toronto, ON
- $221,200–$304,150 a year
- Computer Science
- Sales
- Engineering
11d
Enterprise Data Architect (Energy) - EDAAS
NavitasPartners —Mississauga, ON
- From $30 an hour
- Azure
- AWS
- APIs
Quick apply
5d
Manager, Field Engineering - Financial Services Industry
Databricks —Toronto, ON
- $178,100–$244,850 a year
- Sales
- Machine learning
8d
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Senior Technical Account Manager
Plume —Toronto, ON
- Remote
- Computer Science
- PMP
- Engineering
Quick apply
Technology Lead - Spark Scala Developer
Infosys —Mississauga, ON
- $92,740–$123,375 a year
- SQL
- AWS
- Bachelor's
Quick apply
1d
Director - Subledger Integration Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Master's degree
- Databases
12d
AI Engineer
GEI Consultants —Vaughan, ON
- $110,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
- Profit sharing
- Commuter benefits
Quick apply
Engineering Manager, Data AI & Analytics
McCain Foods Limited —Toronto, ON
- $102,700–$137,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
Senior Manager, Data Engineering & AI
Avanade —Toronto, ON
- $172,000–$204,250 a year
- Full-time
- Azure
- DevOps
- Presentation skills
Senior Technology Lead - Data Platforms
Scotiabank —Toronto, ON
- Azure
- DevOps
- SQL
- Tuition reimbursement
Lakebase Sales Specialist
Databricks —Toronto, ON
- Azure
- Sales
- Databases
7d
Lead Python Full Stack Data Engineer - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Associate Director, Principal Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- AWS
3d
Sr. Director, Lakebase Sales Specialist
Databricks —Toronto, ON
- Sales
- Presentation skills
- APIs
1d
Principal Applied AI Scientist (Team Lead), Digital and Global Investments
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Doctoral degree
- Computer Science
Sr. AI Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply

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databricks solution architect jobs near toronto, on

Program Manager / Delivery Lead - Data Products & AI Platforms

Bridgenext Digital Engineering -
Toronto, ON

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Job details

Full-time
$130,000–$160,000 a year
8 days ago

Qualifications

CI/CD
Program management
Computer Science
PMP
DevOps
Engineering
Analysis skills
Presentation skills
Bachelor's
Release management
Unity
Certified Scrum Master
Agile
Financial services
PgMP
AI
Business
Communication skills
Analytics

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:

We are looking for an execution-oriented Program Manager / Delivery Lead to drive complex enterprise Data Products and AI-enabled platform initiatives for one of Bridgenext’s strategic clients in the financial services and insurance industry.

This is a hands-on, operational delivery role responsible for driving day-to-day execution across cross-functional teams, stakeholders, governance forums, and delivery workstreams. The ideal candidate combines strong program management discipline with domain knowledge in enterprise data platforms, AI / GenAI delivery, audit and risk workflows, and regulated financial services operations.

This individual will work closely with client stakeholders, architects, engineers, QA teams, and product owners to ensure successful delivery of strategic data platforms, AI-enabled audit workflows, and enterprise data products — with clear ownership of timelines, scope, dependencies, governance, and outcomes.

Responsibilities include but are not limited to:

Program & Project Delivery
- Lead end-to-end delivery of enterprise Data Products and AI-enabled platform initiatives
- Manage timelines, scope, dependencies, risks, RAID logs, governance, and execution plans
- Coordinate across engineering, architecture, QA, product, business, and data teams
- Drive sprint planning, backlog prioritization, delivery tracking, and release management
- Ensure alignment between business priorities and technical execution
Stakeholder & Governance Management
- Facilitate daily standups, sprint reviews, steering committee meetings, and executive status reviews
- Manage stakeholder expectations across business, audit, risk, compliance, and technology teams
- Drive cross-functional issue resolution and decision-making
- Ensure timely approvals, UAT coordination, and production readiness activities
Data Products Delivery
- Manage delivery of enterprise data product initiatives including Common Data Models (CDM), Medallion architectures (Bronze / Silver / Gold), and Delta Lake-based platforms
- Oversee data quality, governance, and data contract / SLA frameworks
- Coordinate CI/CD and pipeline operationalization with data engineering and analytics teams
- Ensure data products are delivered in a scalable, governed, and analytics-ready manner
AI & Audit Platform Delivery
- Drive execution of AI-enabled audit workflows and orchestration platforms
- Coordinate delivery across AI-assisted document ingestion, risk identification and control mapping, audit report copilots, and workflow orchestration engines
- Manage delivery of MCP / integration frameworks, shared context stores, and enterprise integrations
- Ensure delivery aligns with audit, compliance, and governance requirements
Delivery Operations
- Manage offshore / onshore delivery coordination and capacity planning
- Track sprint velocity, delivery KPIs, and milestone completion
- Ensure testing, quality gates, defect management, and deployment readiness
- Support hypercare, stabilization, and transition activities post go-live

Workplace: Toronto, ON. On-site presence required multiple days per week for governance and stakeholder collaboration

Must Have Skills:

Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field
Minimum of 8 years of program / project management experience in enterprise technology delivery
Strong experience managing Data Engineering, Analytics, AI, or enterprise platform programs
Experience delivering programs within financial services, insurance, audit, risk, or compliance domains
Strong understanding of Agile delivery methodologies and cross-functional team coordination
Experience managing large enterprise stakeholders and formal governance processes
Hands-on familiarity with modern data platforms (Databricks, Delta Lake, Unity Catalog, DLT pipelines) at a conceptual / delivery level
Working knowledge of AI / GenAI delivery patterns and orchestration frameworks
Strong analytical, organizational, and problem-solving skills with the ability to navigate ambiguity
Ability to operate effectively across technical and business teams

Preferred Skills:

Experience delivering Data Governance, Data Quality, and Data Contract / SLA frameworks
Exposure to audit and risk platforms, controls automation, or compliance technology
Familiarity with Salesforce ecosystem programs and enterprise integration / orchestration platforms
Experience coordinating CI/CD and DevOps delivery across data and application workstreams
Certifications: PMP / PgMP, Certified Scrum Master, SAFe Agilist, Databricks fundamentals, or Cloud certifications

Professional Skills:

Solid written, verbal, and presentation communication skills
Strong team and individual player, collaborative by nature
Maintains composure during high-pressure delivery situations
High standards of professionalism, consistently producing high quality results
Self-sufficient and independent, requiring very little supervision or intervention
Demonstrates flexibility and openness to bring creative solutions to address delivery challenges

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 $130,000- $160,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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databricks solution architect jobs in toronto, on

Program Manager / Delivery Lead - Data Products & AI Platforms

Director, Field Engineering

Enterprise Data Architect (Energy) - EDAAS

Manager, Field Engineering - Financial Services Industry

AI Architect (AWS & Agentic AI)

Senior Technical Account Manager

Technology Lead - Spark Scala Developer

Director - Subledger Integration Lead

AI Engineer

Engineering Manager, Data AI & Analytics

Senior Manager, Data Engineering & AI

Senior Technology Lead - Data Platforms

Lakebase Sales Specialist

Lead Python Full Stack Data Engineer - Vice President

Associate Director, Principal Data Engineer

Sr. Director, Lakebase Sales Specialist

Principal Applied AI Scientist (Team Lead), Digital and Global Investments

Sr. AI Engineer

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