Markham, On Solution architect databricks Jobs – 69 Openings This Week

Data Architect, Technology Data Management
TD Bank —Toronto, ON
- $155,000–$215,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
- Paid time off
4h
Senior Data Engineer
Samsara —Toronto, ON
- $119,000–$154,000 a year
- Remote
- Azure
- Oracle
- Computer Science
Quantexa Developer
Capgemini —Toronto, ON
- Java
- SQL
- APIs
- Disability insurance
- Dental care
Quantexa Developer
Capgemini Sogeti —Toronto, ON
- Java
- SQL
- APIs
- Disability insurance
- Dental care
Data Engineer
Adastra Corporation —Markham, ON
- Full-time
- Azure
- Computer Science
- Engineering
8d
Principal Data Engineer
Fitch Group —Toronto, ON
- $130,000–$170,000 a year
- Hybrid work
- Java
- Databases
- AWS
- Tuition reimbursement
Director of Commercial Data Engineering
Scotiabank —Scarborough, ON
- Azure
- Computer Science
- PMP
- Tuition reimbursement
Senior Data Engineer
ShyftLabs —Toronto, ON
- $140,000–$180,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Sales
- Dental care
- Vision care
Quick apply
1d
Software Engineer III
TD Bank —Toronto, ON
- $125,500–$154,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
1d
Azure Developer
Kumaran Systems —Toronto, ON
- Full-time
- Azure
- DevOps
- SQL
Lead Data Integration Specialist-API Management
Co-operators —Toronto, ON
- $104,717–$154,700 a year
- Bilingual
- Azure
- Computer Science
- Disability insurance
- Dental care
Quick apply
1d
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
Data Team Lead
Redpath Mining —Vaughan, ON
- Overtime
- Azure
- Computer Science
- DevOps
Program Manager / Delivery Lead - Data Products & AI Platforms
Bridgenext Digital Engineering —Toronto, ON
- $165,000–$185,000 a year
- Full-time
- Computer Science
- PMP
- DevOps
Mgr, Credit Perf & Gov
Rogers Communications —Toronto, ON
- Full-time
- Azure
- Computer Science
- SQL
- Dental care
- Paid time off
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
5d
Staff Software Reliability Engineer - Data Platform
Okta —Toronto, ON
- $160,000–$220,000 a year
- On call
- Hybrid work
- Management
- CAD
- Java
- Dental care
- Paid time off
1d
Director, Lakebase Sales Specialist
Databricks —Toronto, ON
- Sales
- Presentation skills
- APIs

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solution architect databricks jobs near markham, on

Data Architect, Technology Data Management

TD Bank -
Toronto, ON

Apply Now

Job details

Full-time
$155,000–$215,000 a year
4 hours ago

Qualifications

ITIL Certification
Data modeling
Azure
Cloud architecture
Business intelligence
Computer Science
Data structures
Mathematics
Information Systems
Google Cloud Platform
Enterprise architecture
Taxonomy
Master's degree
AWS
Bachelor's
APIs
Metadata
Business requirements
Cybersecurity
AI
Communication skills
Information management
Information architecture
TOGAF Certification
Data Science
Analytics

Full job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$155,000 - $215,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

The Data Architect, Technology Data Management role is responsible for designing, governing, and evolving the enterprise technology data architecture that underpins the organization's Technology Reference Data strategy. Reporting to the Head of Technology Reference Data, this position establishes the common taxonomy, canonical data models, metadata standards, and information architecture required to integrate technology data from infrastructure, cybersecurity, cloud, AI, and enterprise technology domains into a unified and authoritative data ecosystem.

The role serves as the architectural authority for technology reference data, ensuring data consistency, interoperability, scalability, and traceability across systems of record, data products, reporting platforms, and analytics solutions. This position plays a critical role in enabling enterprise governance, operational management, risk reporting, regulatory compliance, and executive decision-making through standardized and trusted data.

KEY ACCOUNTABILITIES:

Enterprise Data Architecture

Define and maintain the enterprise technology reference data architecture.

Develop and govern canonical data models across infrastructure, cyber, cloud, AI, operational, and service management domains.

Establish architectural standards for technology data integration, storage, relationships, and consumption.

Define data architecture principles that support scalability, consistency, and enterprise-wide reuse.

Taxonomy & Metadata Management

Develop and maintain the enterprise technology taxonomy.

Standardize technology definitions, classifications, hierarchies, and naming conventions.

Establish metadata standards to support data quality, governance, traceability, and reporting consistency.

Partner with business and technology stakeholders to ensure shared understanding of technology data concepts.

Common Data Modeling

Design logical, conceptual, and physical data models that support enterprise technology data products.

Define relationships among applications, infrastructure assets, cloud services, technology products, capabilities, risks, controls, and business services.

Create reusable models that support enterprise reporting, analytics, and governance requirements.

Ensure data models support current and future technology platforms and business needs.

System of Record Strategy

Identify and document authoritative systems of record for technology domains.

Define rules for data sourcing, master data management, and authoritative ownership.

Establish traceability and lineage between source systems, data products, reports, and metrics.

Support onboarding and integration of new systems into the enterprise data fabric.

Data Governance & Quality

Partner with governance teams to define standards for data quality, completeness, and integrity.

Establish data validation rules and modeling standards that improve consistency across data domains.

Support stewardship activities by providing architectural guidance and standards.

Ensure compliance with enterprise data policies and regulatory requirements.

Data Products Enablement

Define the data structures and semantic models required to support enterprise data products.

Partner with Data Product Managers to translate business requirements into scalable information models.

Ensure data products use common definitions and standardized enterprise relationships.

Support creation of reusable, governed data assets that can be consumed through APIs, dashboards, and reports.

Stakeholder Engagement

Collaborate with Enterprise Architecture, Infrastructure, Cybersecurity, Engineering, Finance, Risk, and Data teams.

Facilitate workshops to define business terms, classifications, and data relationships.

Act as a trusted advisor on technology data architecture, taxonomy, and modeling decisions.

Influence stakeholders toward adoption of common standards and enterprise models.

EDUCATION & EXPERIENCE:

Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics, or a related discipline.

Master's Degree preferred in Data Science, Information Management, Computer Science, or Enterprise Architecture.

Relevant industry certifications preferred:

TOGAF

DAMA CDMP

Databricks Data Engineer or Architect Certification

Azure, AWS, or GCP Data Certifications

ITIL Foundation

8-12+ years of experience in data architecture, enterprise architecture, information management, or data modeling.

Proven experience defining enterprise taxonomies, metadata frameworks, and common data models.

Strong experience in designing data architectures for cloud-based data platforms, preferably Databricks.

Experience integrating multiple systems of record into common enterprise data structures.

Demonstrated expertise in data governance, metadata management, lineage, and data quality frameworks.

Experience supporting enterprise reporting, analytics, and business intelligence initiatives.

Strong understanding of infrastructure, cybersecurity, cloud, AI, and technology management domains.

Experience working in large, complex, and highly regulated organizations.

Excellent stakeholder management, facilitation, and communication skills.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Apply Now

Refine Your Search

solution architect databricks jobs in markham, on

Data Architect, Technology Data Management

Senior Data Engineer

Quantexa Developer

Quantexa Developer

Data Engineer

Principal Data Engineer

Director of Commercial Data Engineering

Senior Data Engineer

Software Engineer III

Azure Developer

Lead Data Integration Specialist-API Management

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

Data Team Lead

Program Manager / Delivery Lead - Data Products & AI Platforms

Mgr, Credit Perf & Gov

Senior Professional Services Consultant

Staff Software Reliability Engineer - Data Platform

Director, Lakebase Sales Specialist

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