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Added 4 months ago
TA
AI and Integration Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring…
Added 4 months ago
KC
Senior Consultant - Data & Solution Architect
Keyrus Canada
Montreal, QC
- Full-time
Architect end-to-end data platforms, lakehouses, and pipelines using Microsoft Fabric or complementary cloud technologies such as Databricks, Snowflake, and Azure Data Services.
Added 1 month ago
Manager, Delivery Solutions Architects - Toronto, ON
Databricks
Toronto, ON
…resource orchestration skills and a solid understanding of Databricks technology and the Data+AI…
Added 5 months ago
SI
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Remote, Canada
- Full-time
- Remote
Saputo is seeking a highly skilled and motivated IT Analytics Architect to join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics, this…
Added 1 month ago
Director, Field Engineering
Databricks
Toronto, ON
Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
Added 5 months ago
CP
Data Architect | Canada
Cuesta Partners
Remote, Canada
- $180,000 to $225,000 CAD / year
- Full-time
- Remote
Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level.
Added 2 months ago
Senior Engineer, Data Platform
Movable Ink
Toronto, ON
Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance…
Added 3 months ago
Data Architect
Konrad
Toronto, Ontario
As a Data Architect, you are a technically strong and curious problem-solver who applies expertise in data science, enterprise data architecture, system design, and data governance best…
Added 2 months ago
B
Databricks Solution Architect
BDO
Toronto, ON
- Full-time
We’re looking for a Databricks Solutions Architect who can bridge the worlds of technology, clients, and partnerships. This net-new role in our data team blends deep Databricks and Azure…
Added 4 months ago
S
Pre-Sales Data and AI Architect - Solution Engineering (Canada)
Salesforce
Remote, Canada
- Full-time
- Remote
…technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade…
Added 1 month ago
Director, ML Engineering & Infrastructure
Tubi - Canada
Toronto, ON
Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence.
Added 2 months ago
AW
Senior Finance Business Systems Analyst
Arterra Wines Canada
Mississauga, ON
- Full-time
Architect and implement robust, scalable Finance solutions within the ERP system (GL, AP, AR, etc.)

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Cuesta Partners

Data Architect | Canada

Remote, Canada

Remote

$180,000 to $225,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $225,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 10+ years of work experience in the data analytics space
Posting language: English
Posted: May 15, 2026

Original job description

Cuesta Partners is looking for a Data Architect to engage with us on transformational data programs with companies looking to take their AI & data capabilities to the next level.

Key Areas of Focus:

Business data modeling

Trade-offs between different modeling philosophies – dimensional, 3NF, Data Vault
Conceptual vs physical modeling
Modeling techniques such as inheritance, parent / child tables, ragged structures, slowly changing dimensions etc.
Normalization vs de-normalization trade-offs
Detailed understanding the design trade-offs around different modeling approaches
Ability to lead model review sessions, and being able to lay out the design "options" and implications, and also present it in a way that both executives and technical-minded people can understand

Modern data delivery design patterns

Data as product
Design compromises & considerations
Know what exemplar deliverables look like
Team composition and responsibilities / work to be done
Streaming vs batch design patterns / considerations
Pros / cons of data mesh delivery model vs alternatives
Comparison of modern cloud native platforms vs legacy on-premises data solutions

Master data governance

Types and most common root cause of DQ issues
Remediation approaches
MDM architecture styles / patterns
Key capabilities of MDM & DQ vendors

Expert in technologies including 1 or more of each class:

Data management layer
- Snowflake
- Databricks
- Microsoft Fabric
- GCP Big Query/ AWS DB Options
Data acquisition & integration
- Azure Data Factory (ADF)
- Matillion
- FiveTran & HVR
- Keboola
Data transformation & orchestration
- ETL
- DBT
- Python / SQL
- Apache Airflow etc.
Vis:
- PowerBI
- Tableau
- Looker
- Domo / ThoughtSpot / Qlik / platform BI vendors (ORCL, SAP, AWS etc.)

Architecture transformations:

Considerations / experience evaluating lift & shift vs re-model trade-offs
Considerations / experience when consolidating decentralized silos
Considerations / experience when moving to modern cloud stacks
Considerations / experience when enabling unified operational & analytics data hubs

Communication & leadership skills:

Able to identify & evaluate most important criteria when making design decisions
Able to look around corners – recognize likely issues before they happen
Able to communicate complex subjects with executive leaders
Able to solicit input & feedback to model and design decisions
Ability to teach / leverage experience to develop team/talent around them
Use past experiences to help with change management to eases concerns over shifts in approach

What You'll Do:

Design the business data model based on the discovered business processes and data analysis
Set the standard for AI-augmented development practices - ensuring projects are structured and tooled in ways that allow coding agents to operate effectively, and coaching the team to work the same way.
Translate business requirements into technical design specifications, including data streams, integrations, transformations, databases, and data warehouses.
Develop work estimates for Data Warehouse & Data Lake deliverables
Coach and mentor a team of a few dozen data engineers, analysts and ML Engineers on data architecture and modeling best practices
Define the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as clients, vendors, materials, and employees
Define reference architecture, which is a pattern others can follow to create and improve data systems
Define data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition
Collaborate and coordinate with team members, clients and external SMEs

What We're Looking For:

Bachelor’s degree in a technical or quantitative field (e.g. Computer Science, Math, Economics Statistics)
10+ years of work experience in the data analytics space
Active, hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, Codex, or similar) in your daily workflow - including building working prototypes, agentic pipelines, RAG systems, or LLM-powered data and analytics products - is a strong asset.
Previous experience in the consulting space is a plus
A passion for exploring and solving different kinds of problems
A desire to learn and assimilate technical information quickly
Hands-on experience deploying solutions in large-scale, high performing databases
Expertise aligned to technologies listed in Key Areas of Focus

Benefits: What you’ll gain:

At Cuesta, we value entrepreneurship, humility, diversity, learning, speed, and balance. We provide our team members with:

Constant opportunities for exposure & learning
Flexible working location and enabling personal-life harmony with work
Agency and influence in the company’s total strategy and direction
Collaboration with a high-performing team
Competitive base salary (outlined in this listing) and target bonus of 15-25%
Supplemental Health, Dental, Vision, and Life insurance

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More about this job

Responsibilities

Design business data models and define the overall data architecture framework, standards, and principles. Lead the translation of business requirements into technical specifications while mentoring a team of data engineers and analysts.

Requirements

Requires a Bachelor's degree in a technical field and over 10 years of experience in data analytics. Expertise in modern cloud data platforms and hands-on experience with AI-assisted development tools is strongly desired.

Skills

Business Data Modeling
Data Vault
Dimensional Modeling
Snowflake
Databricks
Microsoft Fabric
Azure Data Factory
DBT
Python
SQL
Apache Airflow
PowerBI
Tableau
Master Data Governance
AI-Assisted Development
Data Architecture

Benefits

Exposure & learning opportunities
Flexible working location
Influence in company strategy
Competitive base salary
Target bonus of 20-25%
Supplemental Health insurance
Dental insurance
Vision insurance
Life insurance

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Architect
AI
3NF
Data Vault
Normalization
Data Mesh
Cloud Native
MDM
Data Quality
Snowflake
Databricks
Microsoft Fabric
GCP Big Query
AWS
Azure Data Factory
Matillion
Fivetran
HVR
Keboola
ETL
DBT
Python
SQL
Apache Airflow
PowerBI
Tableau
Looker
Domo
ThoughtSpot
Qlik

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