Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platform, we provide exceptional online health and wellness programs (primary care, mental health, iCBT, EAP, and wellness) to organizations that want to improve the wellness of their employees and families. When it comes to our work, we set the bar high. Together, we’re transforming health and helping millions improve their well‑being.

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Good news, we saved you a seat! Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. AI Disclosure Statement To ensure an efficient and fair review process, we utilize artificial intelligence tools to assist in the initial screening and assessment of applicants for this role.

We never request payment, gift cards, or personal financial information at any stage of hiring, and we never extend an offer without a structured interview process. If you receive a suspicious communication claiming to be from Dialogue, do not respond — report it to [email protected] role asSenior Data Platform Developer We are looking for a Senior Data Platform Developer that is excited to design, build, and maintain our modern data platform. In this role, you will define and implement engineering best practices across the full data lifecycle, from ingestion and transformation to consumption.

The goal of the team is to build a stable and scalable platform that empowers power users across the organization to build data products and accelerate time from data to insights. Additionally, this role would partner with data and analytics related functions across Product, Sales, Ops, Finance and other teams to onboard power users into a self serve model.

Data Ingestion & Orchestration: Design scalable ingestion frameworks for batch and streaming data. Orchestrate robust and resilient data pipelines utilizing Airflow (with opportunity to evaluate/implement workflows with Temporal).

Data Modelling & Semantic Layer Development: Define and enforce data modelling standards — including dimensional modelling,



semantic layer development and streaming analytics. Enable software and analytics engineers to author their own transformations to production‑grade standards.

Data Quality & Observability: Embed data validation, testing, and observability into every stage of the pipeline — from ingestion through transformation to consumption. Define testing standards for dbt models, set up monitoring and alerting to ensure data products fail loudly and actionably rather than silently. AI‑Assisted Engineering Workflows: Design and implement AI‑assisted workflows to accelerate repetitive data product development lifecycle and ensure AI agents have accurate context and sufficient guardrails for analytics.

Build and maintain robust CI/CD pipelines using CircleCI for automated testing, PR checks, validation, and deployment.

Data Storage & Access Control: Optimize our Snowflake warehouse for performance and cost efficiency. Implement granular Access Management, column‑level masking, and strict data governance policies.

BI Tool Ownership: Own Evidence as a deployed tool — infrastructure, hosting, Snowflake connectivity, upgrades, and CI/CD. Enable teams to build and deploy their own data products on it.

Shared Technical Leadership : Partner with our developers sharing context, translating ambiguous requirements into clear architecture, aligning on technical decisions collaboratively, and building on each other’s work. Non‑Technical User Enablement: Guide software and analytics developers on adopting production‑grade standards; Train and up skill data power users so they can independently build, deploy, and maintain data products. Operate in a full DevOps model — development, testing, operations, observability and support for the systems you build.





Participate in code reviews and technical design discussions to ensure high‑quality of team output. 3+ years of experience in building production data systems, with deep expertise in large‑volume data pipelines, databases and real‑time events. ~ Strong experience with data warehouse modelling, performance optimization and semantic layer development. Ability to design, optimize and provide guidance on building scalable data products. ~ Proficiency with Apache Airflow for workflow management and building resilient pipelines. ~ Experience synchronizing data from multiple data sources such as SaaS, Cloud DB’s, APIs and event streams. ~ Advanced SQL skills and robust software engineering skills in Python. ~ Experience embedding data validation, data observability and idempotent design into deployment pipelines. Hands‑on experience using AI tools to automate repetitive data workflows such as model and semantic layer development, versioning and deprecation. ~ Hands‑on experience setting up continuous integration and deployment workflows using CircleCI or GitHub Actions for data repositories. ~ The ability to clearly articulate technical designs, project status, and risk to both technical peers and non‑technical stakeholders.

Experience in guiding event emission teams on best practices to support building data products.

Experience designing AI workflows to simplify data product development lifecycle.

Experience with data governance frameworks and data catalogs that keep large‑scale data assets discoverable.

Experience with code‑first BI platforms (e.g., Access to the Dialogue app and virtual mental health support for you and your family ~ Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement ~4 weeks vacation, 9 wellness days, and 1 volunteer day ~ Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles ~ Incentive plans, referral bonuses & RRSP matching ~ Learning via Coursera, external training budget & mentorship ~ Optional parental leave top‑up 105,000 - 135,000 CAD per year (Montreal Office (HQ)) 105,000 - 135,000 CAD per year (Toronto Office) #

📌 Data Quality developer, PYTHON (Montreal)
🏢 Rippling
📍 Montreal