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Added 23 days ago
VR
Lead, Corporate Accountant
Venterra Realty
Richmond Hill, ON
- Full-time
Proficient in Microsoft Excel; experience in VBA and SQL is considered a strong asset.
Added 23 days ago
VR
Lead, Corporate Accountant
Venterra Realty
Richmond Hill, ON
- Full-time
Proficient in Microsoft Excel; experience in VBA and SQL is considered a strong asset.
Added 23 days ago
S
Java Developer
Synechron
Calgary, AB
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled and adaptable Senior Java Developer to join our dynamic, global engineering team. The ideal candidate thrives in fast-paced, ever-evolving environments and…
Added 23 days ago
MF
GIS Analyst
Mosaic Forest Management
Campbell River, BC · Nanoose Bay, BC · Nanaimo, BC
- Full-time
Working knowledge of relational databases, including MS SQL Server, in a GIS environment;
Added 23 days ago
T
Senior Solutions Designer – Enterprise Integration / Java
ThoughtStorm
Toronto, ON
- Contract
10+ years of experience in backend design and development using REST Web Services, Java/JEE, JPA, Hibernate, SQL, PL/SQL, and relational databases.
Added 23 days ago
L
Data Scientist
Lantern
AB · Edmonton, AB
- Full-time
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Added 23 days ago
CL
Infrastructure Specialist, Database Analyst
Canada Life
Toronto, ON
- Full-time
Hands-on experience with one or more database technologies including MongoDB Atlas, Microsoft SQL Server, Oracle, Oracle Exadata, DB2 LUW, and DB2 z/OS.
Added 23 days ago
MF
GIS Analyst
Mosaic Forest Management
Nanaimo, BC
- Full-time
Working knowledge of relational databases, including MS SQL Server, in a GIS environment;
Added 23 days ago
CL
Infrastructure Specialist, Database Analyst
Canada Life
Winnipeg, MB
- Full-time
Hands-on experience with one or more database technologies including MongoDB Atlas, Microsoft SQL Server, Oracle, Oracle Exadata, DB2 LUW, and DB2 z/OS.
Added 23 days ago
PF
Web Developer Fall/Winter Internship (Paid)
Prime Freight Logistics
Montreal, QC
- Full-time
Added 23 days ago
CL
Infrastructure Specialist, Database Analyst
Canada Life
London, ON
- Full-time
Hands-on experience with one or more database technologies including MongoDB Atlas, Microsoft SQL Server, Oracle, Oracle Exadata, DB2 LUW, and DB2 z/OS.
Added 23 days ago
Intermediate Water & Wastewater Policy And Data Analysist (Hybrid)
Kerr Wood Leidal Associates
Victoria, BC · Burnaby, BC
GIS, SQL, GoldSim, hydraulic/hydrologic modelling software, or similar tools.
Added 23 days ago
Senior Analyst - Research Information Systems
University of Guelph
Guelph, ON
Strong knowledge of relational databases, SQL, enterprise data management practices, and the use of data to support reporting, analytics, and operational decision-making.
Added 23 days ago
D
Senior Data Platform Developer
Dialogue
Toronto, ON · Montreal, QC
- $105,000 to $135,000 CAD / year
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…
Added 23 days ago
AI
IVR Developer – Cisco CVP, Call Studio, Java & Amazon Connect
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Java development with client backend integrations (HTTP REST APIs, OAuth2, XML Web Services, MS SQL Server).
Added 23 days ago
T
Architect
TechDoQuest
Toronto, ON
- Contract
Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
Added 23 days ago
C
SR Guidewire PC with Java Sprinboot
Cognizant
Toronto, ON
- Full-time
Guidewire Developer (Java, Spring Boot, APIs)
Added 23 days ago
TC
IVR Developer
Tata Consultancy Services
Toronto, ON
- Full-time
Java development with client backend integrations (HTTP REST APIs, oAuth2, XML Web Services, MS SQL Server)
Added 23 days ago
SH
Database Administrator
Sotera Health Company
Ottawa, ON
- Full-time
…Database Administrator role is responsible for managing Oracle and SQL server databases, ensuring their availability, performance, security, and reliability. Key responsibilities include…
Added 23 days ago
Sr. Developer, BI
Aecon
Toronto, ON
The Sr. BI Developer is responsible for designing, developing, and implementing enterprise data solutions using SAP Datasphere. This role supports data integration, modeling,…
Added 23 days ago
RB
Associate Director - Lead Application Support Specialist, GED Support
Royal Bank of Canada
Toronto, ON
- Full-time
Strong SQL skills for querying, analyzing data, and troubleshooting application issues
Added 23 days ago
WT
Senior Lead, Partnerships (Perks & Rewards)
Wealthsimple Technologies
Remote, Canada
- $152,000 to $190,000 CAD / year
- Full-time
- Remote
Hands-on data skills: SQL or a BI tool (Looker, Preset, Tableau, or similar) to interrogate spend and redemption yourself.
Added 23 days ago
SI
Director of Analytics Engineering
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…data modeling, architecture, governance, quality, tooling, and developer…
Added 23 days ago
H
Principal Azure Databricks Architect
Hays
Toronto, ON
- Contract
Develop scalable data pipelines using Azure Data Factory, Databricks, Python, PySpark, and SQL.
Added 23 days ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
…simultaneously forging long-term relationships with our real estate developer partners. We are committed to excellence in everything we do and building trust with all our…

Dialogue

Senior Data Platform Developer

Toronto, ON, Canada
Montreal, QC, Canada

$105,000 to $135,000 CAD / year

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Job details

Pay: $105,000 to $135,000 CAD / year
Experience: 3+ years of experience in building production data systems, with deep expertise in large-volume data pipelines, databases and real-time events.
Posting language: English
Posted: Sep 18, 2026

Original job description

Your role as Senior 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. The team also owns relationship with relevant technology vendors and identifies opportunities to improve vendor product.

What you'll be doing

Data Ingestion & Orchestration: Design scalable ingestion frameworks for batch and streaming data. This can be standard SaaS sources, API end points, internal DB’s or our own event system. 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.
CI/CD & Infrastructure as Code: Provision, manage, and scale infrastructure using Terraform. 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; create documentation and tooling that makes adherence the path of least resistance. Train and up skill data power users so they can independently build, deploy, and maintain data products.
Own the full lifecycle. 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.

We'd love to hear from you if you have

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.
Strong background with Snowflake and dbt.
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 strong software engineering skills in Python.
Experience embedding data validation, data observability and idempotent design into deployment pipelines. Familiarity with tools like Datadog or Elementary or Soda.
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.
Proven track record managing cloud resources and environments using Terraform.
You take pride in what your team accomplishes, not just your individual output, and communicate with clarity and openness.
The ability to clearly articulate technical designs, project status, and risk to both technical peers and non-technical stakeholders.

Nice to Have:

Experience with stateful, distributed workflow orchestration engines like Temporal.
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., Evidence, Looker/LookML).

At Dialogue, your well-being is our priority

Taking care of others also means taking care of our team! Depending on your role and employment status, you could have access to the following benefits:

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
Work abroad up to 4 weeks/year
Incentive plans, referral bonuses & RRSP matching
Learning via Coursera, external training budget & mentorship
Optional parental leave top-up

The posted salary range represents the expected hiring range for this role. At Dialogue, where a candidate's offer lands within the range is determined by relevant experience, demonstrated skills, and qualifications.

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More about this job

Responsibilities

You will design, build, and maintain a scalable data platform while implementing engineering best practices across the full data lifecycle. The role involves partnering with cross-functional teams to enable self-serve data access and optimizing infrastructure for performance and cost.

Requirements

Candidates must have 3+ years of experience in building production data systems with deep expertise in large-volume pipelines and databases. Proficiency in Snowflake, dbt, Python, and Apache Airflow is required, along with strong software engineering and data modeling skills.

Skills

Data engineering
Snowflake
dbt
Apache Airflow
Python
SQL
Terraform
CircleCI
Data modeling
Data observability
Cloud infrastructure
Semantic layer development
DevOps
Data governance
API integration
Streaming analytics

Benefits

Virtual mental health support
Health insurance
Health spending account
Dental coverage
Fitness reimbursement
4 weeks vacation
9 wellness days
1 volunteer day
Work abroad program
Incentive plans
Referral bonuses
RRSP matching
Coursera learning access
External training budget
Mentorship
Parental leave top-up

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
Snowflake
dbt
Apache Airflow
Python
SQL
Terraform
CircleCI
DevOps
Data Ingestion
Data Orchestration
Data Modeling
Semantic Layer
Data Observability
Data Governance
Cloud Infrastructure
SaaS
API
Datadog
Elementary
Soda
Evidence
Temporal
CI/CD
Data Products
Streaming Analytics
Infrastructure as Code
Access Management
Data Quality
AI-Assisted Engineering

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