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Added 7 mins ago
PI
Health and Safety Environment Coordinator
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Vancouver, BC
- Full-time
Lead or assist in incident investigations, root cause analysis, and corrective actions.
Added 7 mins ago
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Senior Python Test Automation Engineer
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Ottawa, ON
- Full-time
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JI
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- Full-time
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Added 22 mins ago
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- $130,000 to $156,000 CAD / year
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Added 22 mins ago
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Sales Director
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- Full-time
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Manager Microsoft Platforms
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Added 22 mins ago
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Added 22 mins ago
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- $80,000 to $135,000 CAD / year
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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…where intelligent tools support better outcomes while people lead the decisions that…
Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Sr. Business Systems Analyst (Nodejs, Java and E-signature Platforms)
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7shifts

AI Data Architect

Toronto, ON, Canada
Saskatoon, SK, Canada

$160,000 to $200,000 CAD / year · Full-time

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Job details

Pay: $160,000 to $200,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Nov 3, 2026

Original job description

7shifts is an HR platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams.

As the AI Data Architect at 7shifts, you'll design and build how the company asks questions of its data. This is a hands-on architect role: you write code, you ship, and you run the project. Reporting to the Head of Data, you'll partner with data and analytics engineers who own our governed, certified datasets and semantic layer, the IT team that runs our systems, and the Finance, GTM, and Product teams who need answers. Your first big outcome is an agentic self-service portal for basic data requests, live and adopted across those teams, to enhance the experience of business users and to enable our analysts to move to harder problems.

At a company our size, the architect and the builder are the same person. You'll define the end-to-end architecture for agentic data solutions, build the parts that need building, help refine the semantic layer alongside analytics engineering, own the business context layer beside it, and hold the line on what counts as a certified answer. You've shipped an agentic data solution before, watched it fail in places, and fixed it and you can run a complex, cross-functional project to a shared outcome with teams that don't report to you.

AI is both what you build and how you work. You'll use Claude and MCP daily, and you'll be a thought leader on how to effectively use AI in the context of data across the organization.

What you’ll do:

Lead the hands-on design of end-to-end agentic data solution architectures: how a question travels from a Finance, GTM, or Product user through the portal, the agent, the business context layer, and the semantic layer to a certified answer, including monitoring and evaluation of answer quality
Ship the agentic self-service portal for basic data requests and drive adoption, measured by ticket volume, stakeholder feedback, and answer accuracy
Own the front end: evaluate and select the portals and tools people use to interact with agentic data solutions, and partner with IT to integrate and secure them (identity, access, change management)
Support the development of the business context layer: the definitions, business rules, and operational knowledge that let an agent interpret a question the way the business means it, kept current as the business changes
Partner with analytics engineering on the semantic layer and certified datasets: they own the build, you help build and refine, and you bring the business context on what people need to ask and why
Develop and maintain the technical roadmap for AI-on-data capabilities, and make the call on when a solution is good enough to switch on even when governance isn't perfect
Evaluate tools, platforms, and frameworks (Claude, MCP, agent frameworks, retrieval and text-to-SQL approaches, Snowflake and dbt capabilities) through proofs of concept, weighing cost alongside quality, and recommend what we adopt
Run AI-and-data projects end to end across data engineering, analytics engineering, IT, and business teams: discovery, requirements, test plans, rollout
Advise business leaders on where agentic data solutions fit, and lead AI use cases across the organization

What you bring:

A background in data engineering, analytics engineering, software development, or a related systems role (BI and analytics paths count too), with hands-on Python and SQL
You’ve shipped an AI agent or LLM-based solution that answers questions from structured data, watched it fail, and fixed it. You can explain what went wrong and what you changed
You build AI solutions with cost in mind. You’ve worked within an LLM budget, know what drives usage and spend, and can explain the trade-offs you made between answer quality and cost
A working knowledge of how modern data stacks (dbt, Snowflake, or similar) are built and run, and of core data ideas: modelling, governance, certified data, and lineage
A track record of leading complex projects across several teams from start to finish, keeping everyone pointed at the same goal
An understanding of how businesses use data to run day-to-day, and experience turning that into something a system can use, like glossaries, business rules, or metric definitions
Insight into what makes people use or ignore data tools (chat interfaces, AI built into reporting tools, internal portals), plus comfort with APIs, cloud platforms (GCP or AWS), and working with IT to deliver secure tools
You use AI every day and have brought a team along with you. You can show how it changed your output and where you check it

It’d be even cooler if you had:

Experience in SaaS or restaurant tech
Experience evaluating and introducing new AI technologies to an organization

This role is an existing vacancy and is part of our current hiring plan

Our commitment to our Shifties:

Opportunity: Our product is evolving in exciting ways, and we’re focused on delivering even more value to restaurants. This momentum creates real opportunities to learn and grow. Whether you’re honing your craft or exploring new paths, you’ll be supported and empowered to own your growth and impact a product shaping the future of the restaurant industry.
Challenge: We’re tackling real problems in a fast-moving, complex industry. The work is scrappy and ambiguous, but meaningful. You’ll think critically, act with intention, and shape solutions that make a real difference for restaurant teams.
Culture: We’re proud to be recognized among the best workplaces in North America. Guided by our mission and values, we move fast to solve meaningful problems and celebrate wins together. Whether through in-office and remote events, team offsites like Sparks, or everyday moments of connection, we create space for shared growth, collaboration, and fun.
Equity: We’re a Series C, VC-backed SaaS company, and we believe everyone should share in the success they help create. When we build together, we grow together.
Health and Wellness: We support Shifties in and outside of work, knowing that what people need can change over time. From day one, you’ll have access to benefits like health and dental, lifestyle spending accounts to a parental leave program built with flexibility in mind, to help you bring your best self to work.
Flexibility: Our team is intentional around how and where we work, whether remotely, in person, or a mix of both. We prioritize candidates who thrive in a hybrid work environment with offices in Saskatoon and Toronto, ensuring in-person collaboration and connection when possible. Plus, we offer a flexible vacation policy to encourage everyone to recharge when needed. Oh, and our ‘90 Day Shift’ program lets Shift work from (almost) anywhere because who wouldn’t want to trade their desk for a beach view once in a while?
Support: We set Shifties up for success with the tools they need, like the latest Apple tech, a home office setup, and some 7shifts swag to make it official. But support goes beyond day one. We’re serious about professional growth, offering coaching, feedback, development planning, and opportunities to grow from within.

We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds.

We thank you for your interest in joining the 7shifts team!

Our privacy policy can be found here.

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More about this job

Responsibilities

You will design and build end-to-end agentic data solutions, including an agentic self-service portal for data requests. You will also partner with cross-functional teams to refine the semantic layer and define the technical roadmap for AI-on-data capabilities.

Requirements

The role requires hands-on experience in data or analytics engineering with proficiency in Python and SQL. You must have a proven track record of shipping AI agent or LLM-based solutions and leading complex cross-functional projects.

Skills

Python
SQL
Data engineering
Analytics engineering
AI agent development
LLM-based solutions
Data architecture
Semantic layer design
Project management
Cloud platforms
Snowflake
dbt
Governance
API integration
Business context modeling

Benefits

Health insurance
Dental insurance
Lifestyle spending accounts
Parental leave program
Flexible vacation policy
Equity
Home office setup
Professional coaching
Development planning

Visa sponsorship

Not detected in the job text

Keywords

AI Data Architect
Agentic data solutions
Python
SQL
Snowflake
dbt
LLM
MCP
Claude
Data engineering
Analytics engineering
Semantic layer
Data governance
SaaS
Restaurant tech
GCP
AWS
API
Identity management
Change management
Business intelligence
Data modeling
Data lineage
Project management
Cross-functional leadership

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