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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
Connaissance des langages de script tels que Python ou Bash
Added 2 months ago
AN
Senior Software Engineer, Linux Kernel
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of…
Added 2 months 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 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
We are looking for a Lead Applied AI and Data Scientist to establish and lead the applied AI & data science practice, a new capability within IFS Copperleaf’s AI Engineering &…
Added 2 months ago
Lead Network Architect (DNS/DHCP)
Rogers Communications
Brampton, ON
Write and maintain basic Bash and Python scripts to automate system processes.
Added 2 months ago
RI
Senior Geochemist
RE/SPEC Inc.
Vancouver, BC
- Full-time
Code-based data analysis workflows (Python, R, SQL)
Added 2 months ago
GT
ISE Software DevOps and Testing Specialist
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
Implement software in C++, C#, and Python following written specifications, requirements, coding standards, and company software engineering practices.
Added 2 months ago
R
DataOps Engineer
RPIA
Toronto, ON
- Full-time
Rather than focusing solely on database administration, this role emphasizes platform engineering, observability, and DevOps practices. You will work closely with software engineers, DevOps…
Added 2 months ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Build Within Shared Standards: Work inside the shared repositories, reusable components, and context and data-access standards the AI Engineering Lead owns, and register what you ship so…
Added 2 months ago
E
ODOO Developer
EIZIE
Kitamaat 2, BC
- Full-time
We are seeking a talented and experienced Odoo Developer to join our dynamic development team. As an Odoo Developer, you will be responsible for designing, developing, and implementing Odoo…
Added 2 months ago
E
Data Scientist
EIZIE
MB
- Full-time
Technical Skills: Proficient in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Strong knowledge of statistical analysis…
Added 2 months ago
I
Spécialiste technique en ventes d’ingénierie Programme de vente pour diplômés et diplômées 2027
IBM
Montreal, QC
- $81,600 to $115,200 CAD / year
- Full-time
At IBM, technology creates value when it solves real business challenges. As an Entry-Level Technical Engineering Seller, you will work with clients and IBM technical experts to design,…
Added 2 months ago
I
Technical Engineering Seller - Entry Level Sales Program 2027
IBM
Ottawa, ON
- $81,600 to $115,200 CAD / year
- Full-time
At IBM, technology creates value when it solves real business challenges. As an Entry-Level Technical Engineering Seller, you will work with clients and IBM technical experts to design,…
Added 2 months ago
I
Technical Engineering Seller - Entry Level Sales Program 2027
IBM
Toronto, ON
- $81,600 to $115,200 CAD / year
- Full-time
At IBM, technology creates value when it solves real business challenges. As an Entry-Level Technical Engineering Seller, you will work with clients and IBM technical experts to design,…
Added 2 months ago
C
Développeur Intégrateur Snaplogic
CGI
Montreal, QC
- Full-time
Connaissance d'un langage de programmation (Python, Java, C#, ou équivalent)
Added 2 months ago
I
Technical Engineering Seller - Entry Level Sales Program 2027
IBM
Calgary, AB
- $81,600 to $115,200 CAD / year
- Full-time
At IBM, technology creates value when it solves real business challenges. As an Entry-Level Technical Engineering Seller, you will work with clients and IBM technical experts to design,…
Added 2 months ago
A(
Machine Learning Resident - Client: Fillip Fleet
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
…with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop…
Added 2 months ago
SC
Ingénieur Validation et Essais Electroniques (Senior)
SII Canada
Montreal, QC
- Full-time
Work with product design teams and test professionals to review test data and produce compliance matrices.
Added 2 months ago
A
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
- Full-time
…Science on complex real world problems, backed with high volume data ? Whether you're passionate about building highly scalable and reliable systems or a scientist who likes to solve…
Added 2 months ago
A
FrontEnd CMA (CAD) Engineer
Arm
Toronto, ON
- Full-time
Join the Chip Methodology & Automation (CMA) team within Arm's Solutions Engineering organization. As a FrontEnd CMA Engineer, you will define, develop, and deploy scalable methodologies,…
Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
Cross-functional Deployment: Collaborate with backend and platform engineering teams to deploy highly scalable, low-latency AI endpoints within our Kubernetes-based infrastructure.
Added 2 months ago
BP
Full-Stack Engineer
Brightpathdigital Pro
Remote, Canada
- $30,000 to $40,000 CAD / year
- Contract
- Remote
Design and build scalable backend services using Python and Node.js, with a strong focus on data integrity and reliability.
Added 2 months ago
Senior Manager, Supply Chain Analytics & Data Intelligence
Celestica International LP
Toronto, ON
We are seeking an experienced and strategic Senior Manager of Supply Chain Analytics & Data Intelligence to lead our supply chain data transformation. In this role, you will bridge the gap…
Added 2 months ago
Senior Consultant - Credit Risk Modelling - Montreal
EY
Montreal, QC
Strong quantitative skills in data analytics and modelling incl. artificial intelligence and machine learning techniques

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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