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Posted 3 days ago

Senior Data Architect / Data Modeller, AI/ML & Cloud

@ Altis

Toronto, Ontario

Contract
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SIGNALS

Overview

Altis is hiring a Senior Data Architect / Data Modeller on a contract running until May 31, 2027, based in Toronto with hybrid work, three days a week onsite near Union Station. The role designs enterprise data architectures and conceptual, logical and physical data models for analytics, AI/ML and Generative AI workloads, mainly on Azure. Strong written and verbal English is required.

Responsibilities:

  • Design enterprise data architectures and conceptual, logical and physical data models
  • Architect AI-ready data solutions for model training, inference and RAG
  • Develop reusable data products and enterprise integration standards
  • Partner with governance teams on data quality, lineage, security and privacy
  • Assess existing platforms and contribute to future-state cloud data architecture

Requirements summary:

  • Significant experience in enterprise data architecture and data modelling
  • Deep knowledge of Azure data services and Azure Machine Learning
  • Understanding of AI/ML data requirements, including RAG and feature engineering
  • Expertise in data integration, APIs, metadata and lineage
  • Strong communication and stakeholder management skills
  • Relevant degree or equivalent experience

Tools & skills

Source and dates

Employer career site / ATS feed · careerpage

Employer posting date
2026-11-03
First seen by our source
2026-11-04
Source record updated
2026-11-04

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
Encouraged to applyWomen, People with disabilities, 2SLGBTQ+
EducationBachelor’s degree (preferred)

Summary and details written by AI from the posting; the employer’s posting is the authority.

Altis

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Connecting top talent to meaningful work across Canada

Full company description

Since 1989, Altis has been a Canadian staffing leader and is one of Canada’s largest independent staffing firms, connecting top talent to meaningful work across industries and sectors. More than just your staffing firm, we’re your staffing partner. Our specialized, expert recruiters consult with you to understand your sector and specific talent needs, and then source the most qualified candidates, from entry-level to executive management, at the most competitive rates. Every year, we place more than 4,000 experienced candidates nationwide, fueling our clients’ businesses while building careers worth celebrating.

LinkedIn followers
289,738
People associated on LinkedIn
269
Reported office locations
  • 102 Bank St, Suite 300, Ottawa, ON K1P 5N4, CA
  • 330 Bay Street, Suite 700, Toronto, ON M5H 2S8, CA
  • 905 West Pender St, Suite 405, Vancouver, British Columbia V6C 1L6, CA
Other recorded names
  • Altis
Specialties
  • staffing
  • recruitment
  • IT staffing
  • F&A staffing
  • and Administration & Support staffing
Profile identifies a recruitment agency
Yes

Since 1989, Altis has been a Canadian staffing leader and is one of Canada’s largest independent staffing firms, connecting top talent to meaningful work across industries and sectors. More than just your staffing firm, we’re your staffing partner. Our specialized, expert recruiters consult with you to understand your sector and specific talent needs, and then source the most qualified candidates, from entry-level…

FieldValue
IndustryStaffing and Recruiting
Company size51-200 employees
HeadquartersOttawa, ON
Organization typePrivately Held
Year founded1989
SpecialtiesstaffingrecruitmentIT staffingF&A staffingand Administration & Support staffing
Open jobs on Jobsy412
LinkedInView page
Job description

Senior Data Architect / Data Modeller, AI/ML & Cloud

Location: Toronto, ON (Hybrid, 3 days onsite per week, near Union Station)
Language: Strong written and verbal English communication skills
Duration: Contract until May 31, 2027

About the Opportunity
Are you an experienced Data Architect passionate about building scalable, AI-ready data solutions? We're looking for a Senior Data Architect / Data Modeller to help shape the future of enterprise data architecture, enabling advanced analytics, Generative AI, machine learning, and innovative data products.

In this role, you'll collaborate with business leaders, data engineers, architects, and governance teams to design modern, secure, and reusable data solutions. Your expertise will help establish the foundations for enterprise-wide AI adoption and data-driven decision-making.

What's In It for You
• Work on high-impact enterprise data transformation and AI initiatives.
• Gain exposure to modern Azure technologies and emerging Generative AI capabilities.
• Collaborate with experienced professionals across architecture, engineering, and governance teams.
• Help influence future-state architecture, standards, and enterprise data strategy.

Your Responsibilities
• You'll design enterprise data architectures and conceptual, logical, and physical data models supporting analytics, AI/ML, and operational workloads.
• You'll define scalable patterns for data integration, storage, transformation, sharing, and consumption.
• You'll architect AI-ready data solutions supporting model training, inference, RAG, feature engineering, and ML pipelines.
• You'll develop reusable data products, common data models, and enterprise integration standards.
• You'll partner with governance teams to embed data quality, ownership, metadata, lineage, security, privacy, and lifecycle requirements.
• You'll assess existing platforms, identify architecture gaps, and contribute to future-state cloud data architecture.
• You'll collaborate with business and technical stakeholders to translate complex requirements into practical, scalable solutions.

Skills and Qualifications
• Significant experience in enterprise data architecture, data modelling, data engineering, and cloud-based solutions.
• Proven expertise designing conceptual, logical, and physical data models for enterprise analytics, AI/ML, and Generative AI workloads.
• Deep knowledge of Azure data services, Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, and scalable cloud architecture patterns.
• Strong understanding of AI/ML data requirements, including RAG, model training, inference, feature engineering, and data pipelines.
• Expertise in data integration, APIs, metadata, master/reference data, lineage, data quality, and modern data platforms.
• Knowledge of lakehouse architecture, domain-oriented design, data products, governance, security, privacy, and information lifecycle management.
• Strong communication, stakeholder management, documentation, and problem-solving skills, with a relevant degree or equivalent experience.

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We’re an equal opportunities employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.

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