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Added 1 month ago
S
Senior Salesforce Developer
Solink
Remote, Canada
- $111,250 to $150,000 CAD / year
- Full-time
- Remote
Added 1 month ago
Solutions Architect
Appnovation Technologies
Toronto, ON
…that guide the engineering team. Working across Databricks, Snowflake, and adjacent cloud data sources, this leader will translate an evolving product vision into concrete design…
Added 1 month ago
Short Term 2027 Data Analyst Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
Added 1 month ago
AI Applied Engineer, Business Solutions
OpenTable
Toronto, ON
System integration & data architecture: Connect AI models and microservices with internal databases (Snowflake), APIs, and third-party tools to automate manual business processes.
Added 2 months ago
I
Data Services Consultant Associate (May or September 2027 - Toronto or Calgary)
IBM
Toronto, ON
- $67,575 to $95,400 CAD / year
- Full-time
Snowflake, Databricks, or similar modern data platforms is considered an asset
Added 2 months ago
I
Data Services Consultant Associate (May or September 2027 - Toronto or Calgary)
IBM
Calgary, AB
- $67,575 to $95,400 CAD / year
- Full-time
Snowflake, Databricks, or similar modern data platforms is considered an asset
Added 1 month ago
PS
Solution Designer, Total Fund Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
…designs, with a particular focus on Web application solutions, Snowflake and Databricks data solutions, integrations, APIs, and AI-enabled…
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact
Montreal, QC
Added 2 months ago
E
Staff Software Engineer, Product
Enurgen
Remote, Canada
- $175,000 to $195,000 CAD / year
- Full-time
- Remote
OLAP / columnar database experience. ClickHouse especially, or BigQuery, Snowflake, DuckDB
Added 2 months ago
I
Technology Lead - Informatica Developer
Infosys
Calgary, AB
- Full-time
We are seeking an experienced Informatica Developer to design, develop, and support enterprise data integration solutions across on-premise and cloud platforms. The ideal candidate will…
Added 1 month ago
D
Technical Account Manager
Docebo
Remote, Canada
- $100,700 to $134,200 CAD / year
- Full-time
- Remote
…custom SQL queries, or querying BI/Data Warehouse solutions (Snowflake, Tableau, Power BI, Looker,…
Added 1 month ago
ME
Data Engineer
MACLEAN ENGINEERING & MARKETING CO. LIMITED
Barrie, ON · Collingwood, ON · North Bay, ON · Sudbury, ON
- $70,000 to $120,000 CAD / year
- Full-time
Hands-on experience with at least one modern cloud data warehouse - Snowflake preferred - and with multi-layer data modeling (raw → curated → semantic, or Bronze/Silver/Gold)..
Added 2 months ago
HT
Senior Data Analyst / BI Analyst
High Tech Genesis
Ottawa, ON
- Contract
The ideal candidate will have strong experience with Power BI, Alteryx, SQL, Snowflake, data modelling, and data warehousing, along with excellent analytical and communication skills.
Added 1 month ago
Senior Data Analyst
Clutch Technologies Inc.
Toronto, ON
Build reliable, well-tested, production-ready pipelines using tools like dbt, Airflow, and Snowflake.
Added 1 month ago
M
Forward Deployed Engineering, US Oncology
McKesson
Mississauga, ON
- Full-time
Hands-on experience with Snowflake and Databricks, including data pipelines, lineage, reconciliation, data quality, and performance tuning.
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Added 1 month ago
J
Manager, Customer Analytics (Sales & Marketing)
Jobber
Remote, Canada
- Full-time
- Remote
Added 2 months ago
TI
Semantic Modeler
TS Imagine
Montreal, QC
- Full-time
…data points and manages our cutting-edge data lake built on…
Added 2 months ago
JG
ETL Developer
J&M Group
Toronto, ON
- Full-time
Perform data extraction, transformation, and loading (ETL) from various sources into data warehouses (star/snowflake schemas).
Added 2 months ago
Data Analyst
Konrad
Toronto, ON
Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
Added 1 month ago
R
DataOps Engineer
RPIA
Toronto, ON
- Full-time
Added 2 months ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Experience with a modern data stack (e.g. Snowflake, Databricks)
Added 2 months ago
A(
Machine Learning Resident - Client: Fillip Fleet
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
Added 2 months ago
H(
Sr. Manager, Performance Systems
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- Full-time
Build and maintain cross-functional reports and automation solutions using a range of reporting tools and technologies like Qlik, Python, Snowflake, Excel, Power BI, SAP Hana.
Added 4 months ago
P
Business Development Representative
Pigment
Toronto, ON
- Full-time
Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions…

RPIA

DataOps Engineer

Toronto, ON, M5R 2E3, Canada

Compensation Range: $110,000 – $135,000 base salary, additional compensation may be available · Full-time

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Job details

Pay: Compensation Range: $110,000 – $135,000 base salary, additional compensation may be available
Job type: Full-time
Posting language: English
Posted: Aug 28, 2026

Original job description

We are currently seeking a full-time permanent DataOps Engineer to join our Technology team.

As a DataOps Engineer, you will design, build, automate, and operate the firm's modern cloud data platform. You will be responsible for delivering secure, scalable, and reliable data services that enable business intelligence, advanced analytics, machine learning, and application development across the organization.

Rather than focusing solely on database administration, this role emphasizes platform engineering, observability, and DevOps practices. You will work closely with software engineers, DevOps engineers, and business stakeholders to deliver self-service data capabilities while ensuring high standards of security, governance, and operational excellence.

The duties and responsibilities of the DataOps Engineer include but are not limited to:

Cloud Data Platform Engineering:

Design, implement, and maintain cloud-native data platforms supporting structured, semi-structured, and streaming data.
Build scalable Lakehouse and data warehouse architectures.
Develop reusable platform services for ingestion, transformation, storage, and consumption.
Standardize data infrastructure across development, QA, and production environments.

DataOps & Platform Automation:

Build CI/CD pipelines for databases, data pipelines, and infrastructure.
Automate provisioning, deployment, testing, and rollback.
Automate non-production database seeding with sanitized production data.
Develop automated validation and quality checks.

Data Engineering:

Build reliable ETL/ELT pipelines.
Integrate data from databases, APIs, SaaS platforms, event streams, and cloud storage.
Design CDC and incremental loading strategies.
Optimize data movement for performance, reliability, and cost.

Database Engineering:

Design logical and physical data models.
Optimize SQL performance and indexing.
Configure high availability and disaster recovery.
Monitor platform health and resolve bottlenecks.

Observability & Reliability:

Implement monitoring, alerting, and centralized logging.
Define SLAs and reliability metrics.
Perform root cause analysis and continuous improvement.

Platform Enablement:

Build reusable templates and engineering standards.
Create documentation and operational runbooks.
Mentor engineers and analysts on platform best practices.

Research & Innovation:

Evaluate Microsoft Fabric, Azure data services, Lakehouse architecture, streaming platforms, vector databases, and AI-ready platforms.

Desired Technical Skills

Cloud:

Azure SQL
Azure Storage
Azure Data Factory
Microsoft Fabric
Azure Synapse
Azure Functions
Azure Event Hubs
Azure Key Vault
Azure Monitor

Databases:

SQL Server
Azure SQL
PostgreSQL
Snowflake
Databricks SQL

Programming:

Python
PowerShell
C#
SQL
Bash

Automation:

Terraform
Git
GitHub Actions
Azure DevOps Pipelines

Containers:

Docker
Kubernetes
Helm

Data Engineering:

Spark
Delta Lake
Parquet
CDC
Event-driven architecture

Monitoring:

Datadog
Azure Monitor
OpenTelemetry (OTel)
Azure Log Analytics

Critical Competencies

Service Excellence – Delivers reliable, scalable data platforms through strong engineering standards, automation, observability, and continuous improvement.
Attention to Detail – Maintains accuracy across data models, pipelines, infrastructure, workflows, validations, documentation, and runbooks.
Organization & Time Management – Balances platform, pipeline, database, support, and research priorities while coordinating dependencies and meeting timelines.
Technical Proficiency – Applies strong knowledge of cloud data platforms, Lakehouse architectures, ETL/ELT, CDC, database engineering, CI/CD, infrastructure, monitoring, and Azure data services to improve systems and processes.
Problem-Solving & Initiative – Identifies quality issues, bottlenecks, risks, and automation opportunities; resolves root causes with sustainable solutions.
Communication – Clearly communicates requirements, decisions, risks, findings, and recommendations to technical and business stakeholders.
Accountability – Owns platforms, pipelines, databases, deployments, and deliverables through resolution while maintaining reliability, security, performance, cost efficiency, and quality.

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related discipline.
Experience building cloud-native Azure data solutions.
Strong SQL and database performance tuning experience.
Experience implementing Infrastructure as Code and CI/CD.
Experience with Git-based development workflows.
Experience operating production systems with monitoring and alerting.
Excellent troubleshooting and communication skills.

Additional Information

Position Type: Full-Time Permanent
Work Location: Toronto
To learn more about life at RPIA, visit https://rpia.ca/
Read our firm’s magazine, Voices of RPIA: https://online.flippingbook.com/view/859829658/
This is to fill an open vacancy
Artificial Intelligence may be used as part of this recruitment initiative
Compensation Range: $110,000 – $135,000 base salary, additional compensation may be available

RPIA is proud to be Great Place to Work Certified™. What sets us apart?

Exceptional single and family benefits package that includes health, dental and vision insurance plus additional Health Care Spending and Wellness credits.
Employee and Family Assistance Program to support mental wellbeing extended to all family members in your household.
Opportunities for professional and personal growth through:
- Cross-functional Mentorship Program
- Internally curated Leadership Skills training program
- Community outreach and monthly social events organized through our volunteer-led committees.

RPIA is an Equal Opportunity Employer

We believe in the power of diversity of thought, and we aspire to have an inclusive workplace that mirrors the fabric of our community. We strongly encourage applications regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. We are committed to providing an accessible and equitable application and hiring process and will make accommodations should you require it at any point. We encourage you to connect with us at hr@rpia.ca if you require accommodation during the recruitment process.

Our culture is defined by our six core values: Client-First, Innovation, Excellence, Partnership, Integrity, and Giving back. Our clients often say the outstanding service we deliver is as important to them as the returns we achieve for them. With over 135 employees and approximately $21 billion in assets under management for a broad investor base of institutions and private clients, we proudly remain privately owned by employees who invest alongside our clients.

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More about this job

Responsibilities

The DataOps Engineer will design, build, and operate a modern cloud data platform while implementing automation and CI/CD practices. They will collaborate with cross-functional teams to deliver scalable data services, ensure platform reliability, and maintain high standards of security and governance.

Requirements

Candidates must possess a bachelor's degree in a relevant field and have proven experience building cloud-native Azure data solutions. Strong proficiency in SQL, database performance tuning, Infrastructure as Code, and Git-based development workflows is required.

Skills

Azure
SQL
Python
DataOps
CI/CD
Terraform
Databricks
Snowflake
Kubernetes
Spark
ETL/ELT
PowerShell
Data modeling
Observability
Cloud architecture
Automation

Benefits

Health insurance
Dental insurance
Vision insurance
Health care spending credits
Wellness credits
Employee and family assistance program
Mentorship program
Leadership skills training

Visa sponsorship

Not detected in the job text

Keywords

DataOps
Azure SQL
Microsoft Fabric
Lakehouse
Data Warehouse
CI/CD
Python
SQL Server
PostgreSQL
Snowflake
Databricks
Terraform
Docker
Kubernetes
Spark
Delta Lake
Datadog
Infrastructure as Code
ETL
ELT
CDC
Azure DevOps
GitHub Actions
Cloud-native
Observability
Streaming data
Vector databases
Data modeling
Automation
Azure Monitor

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