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Added 2 months ago
JG
DataOps/Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Experience developing ETL processes with Informatica, Azure Data Factory and Databricks (Python, Lakeflow, and SQL Optimization)
Added 2 months ago
TI
Semantic Modeler
TS Imagine
Montreal, QC
- Full-time
Strong SQL skills and hands-on experience with Snowflake.
Added 1 month ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
Experience with: AI/ML model integration • Python or Java • SQL/database design • AWS/Azure cloud platforms • Omnistudio (FlexCards, DataRaptors) • Industries CPQ • Mulesoft APIs • Platform…
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 1 month ago
A
Senior Software Developer
AssistIQ
Remote, Canada
- Full-time
- Remote
Experience with SQL and NoSQL datastores such as PostgreSQL and DynamoDB
Added 2 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
Familiar with data concepts (data modeling, data pipelines, SQL) - enough to work fluidly alongside a data team
Added 2 months ago
G
Développeur(euse) CloudOps / CloudOps Developer
Genetec
Montreal, QC
- Full-time
Solides compétences en automatisation et en développement de scripts avec PowerShell, Bash ou Python, incluant l'intégration d'API REST
Added 2 months ago
BP
Data Scientist
BNP Paribas
Montreal, QC
- Full-time
…and engineering excellence and are excited to work directly with our internal clients to help them reach their AI ambitions, this is the perfect job for you! You’ll join a stimulating work…
Added 2 months ago
KC
Power Platform Developer (contract)
KPMG Canada
Toronto, ON
- Contract
The Power Platform Developer will design, develop, and maintain business applications, automations, and data solutions that improve operational efficiency and support data-driven…
Added 2 months ago
V
Senior Software Developer
Verily
Waterloo, ON
- Full-time
Proficiency in SQL and/or experience with distributed data technologies.
Added 2 months ago
Data Analyst
Konrad
Toronto, ON
…to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating…
Added 1 month ago
Data Science, Senior Consultant – Healthcare & Life Sciences, Elevate
master-TMS
Toronto, ON
optimize their commercial strategies and achieve profitable growth. With nearly
Added 2 months ago
JO
IT Business Operations Manager
JELD-WEN of Canada
Woodbridge, ON
- Full-time
Advanced programming across major languages (C#, Java, Python, Progress 4GL, VB, SQL) to develop, enhance and maintain plant automation, integrations and custom applications
Added 2 months ago
C
Sr. Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
Experience with Data Lake/ Azure Data Factory, python, SQL Server, Tableau/ Power BI.
Added 2 months ago
PF
Ingénieur·e principal·e en implantation | Senior Implementation Engineer
Power Factors
Brossard, QC
- Full-time
Expérience avec les environnements Linux, Windows et les bases de données SQL
Added 1 month ago
Developer, Software
Redlen Technologies Inc.
Saanichton, BC
The Software Developer, Manufacturing Test Software is a key member of Redlen's Test Software team, responsible for developing, maintaining, and enhancing software systems that support the…
Added 1 month ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our…
Added 1 month ago
RI
Senior Geochemist
RE/SPEC Inc.
Vancouver, BC
- Full-time
Code-based data analysis workflows (Python, R, SQL)
Added 1 month ago
R
DataOps Engineer
RPIA
Toronto, ON
- Full-time
…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…
Added 1 month ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Proficiency in Python and strong SQL, with a solid grounding in programming concepts, design patterns, SDLC principles, and unit testing.
Added 2 months ago
A(
Machine Learning Resident - Client: Fillip Fleet
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
This is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, Fillip Fleet, afterwards (note: at the discretion of the client).…
Added 2 months ago
BP
Full-Stack Engineer
Brightpathdigital Pro
Remote, Canada
- $30,000 to $40,000 USD / year
- Contract
- Remote
Design and build scalable backend services using Python and Node.js, with a strong focus on data integrity and reliability.
Added 1 month ago
Senior Manager, Supply Chain Analytics & Data Intelligence
Celestica International LP
Toronto, ON
Hands-on experience with statistical programming languages (PL/SQLl,Python or R).
Added 1 month ago
Senior Consultant - Credit Risk Modelling - Montreal
EY
Montreal, QC
Significant experience and proven ability to program in pertinent languages, such as Excel, SAS, SQL, R, and Python.
Added 2 months ago
LT
Software Engineer
Larus Technologies
Ottawa, ON
- Full-time
5+ years of direct experience in design, development, deployment, and verification of software, with at least 2 years in Java and 2 years in python;

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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