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Added 21 days ago
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Gestionnaire de projet en ingénierie / Project Manager, Engineering
Airbus
Montreal, QC · Mirabel, QC
- Full-time
Forte maîtrise de l'extraction, de l'analyse et de la visualisation de données (Excel/Google Sheets avance, SQL, Python, Qlik, Tableau, Apps Script, MS SQL, etc.);
Added 21 days ago
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Lead Data Engineer
RBC
Toronto, ON
- Full-time
…architecture. As a Lead Data Platform Engineer, you will be a senior individual contributor and technical lead, owning the design and build of our AWS-based data platform and mentoring…
Added 21 days ago
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Manager, Performance Intelligence
Achievers
Toronto, ON
- Full-time
Use SQL, BI and quantitative methods to investigate performance, test assumptions and review logic, code and methods.
Added 21 days ago
MA
Actuary
Mattamy Asset Management
Toronto, ON
- Full-time
Proficiency in MS Office and coding (Python, R, SQL, etc.).
Added 21 days ago
RT
Conseiller(ère) sénior, Gestion des données de Foundry | Senior Advisor, Foundry Data Management
Rio Tinto
Montreal, QC
- Full-time
Solides compétences en Python, PySpark, SQL et en pratiques de gouvernance et de sécurité des données d’entreprise.
Added 21 days ago
Senior Data Scientist
Momentum Financial Services Group
Toronto, ON
Advanced proficiency in Python and SQL for data analysis, statistical modeling, and machine learning.
Added 21 days ago
WT
Senior Data Scientist, Growth Data
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
Strong technical skills in Python and SQL with experience building production-quality code
Added 21 days ago
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Senior Solution Engineer
Snowflake
Remote, Canada
- $162,000 to $212,625 CAD / year
- Full-time
- Remote
Hands-on expertise with SQL, SQL analytics, and Python
Added 21 days ago
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Lead Java Developer
Infoya
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Demonstrated experience operating as a Lead Developer, Technical Lead, or senior engineer with ownership of design decisions and technical direction.
Added 21 days ago
Senior Analyst, Strategy Modelling
WestJet Group
Calgary, AB
The Senior Analyst, Strategy Modelling builds and maintains the forecasting, scenario modelling and analytical capabilities used to evaluate business decisions, market changes and…
Added 21 days ago
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Senior Plant 3D Administrator
Wood
Calgary, AB
- Full-time
Wood is recruiting for a Senior Plant 3D Administrator to join its Projects business in Calgary, Alberta, supporting digital engineering and project delivery through Plant 3D…
Added 21 days ago
ES
Audio Artist II - FC
EA SPORTS
Vancouver, BC
- Temporary
Basic knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 21 days ago
ES
Audio Artist III - FC
EA SPORTS
Vancouver, BC
- Temporary
Knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 21 days ago
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Senior Application Security Researcher
CommIT
Toronto, ON
- Full-time
…vulnerabilities at the source. The Security Research group is hiring a senior, hands-on Application Security Researcher to push modern AppSec forward - working with engineers, researchers…
Added 21 days ago
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Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
- Full-time
We're migrating toward MACH (Microservices, API-first, Cloud-native, Headless) and need a senior backend engineer to co-own that evolution.
Added 21 days ago
Audio Artist III - FC
Electronic Arts
Vancouver, BC
Knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 21 days ago
Audio Artist II - FC
Electronic Arts
Vancouver, BC
Basic knowledge of code or scripting language (C#, C++, SQL, Python, Lua, etc.)
Added 22 days ago
PS
Senior Software Developer – Backend Services
PDF Solutions
Vancouver, BC
- Full-time
PDF Solutions is seeking a highly experienced Senior Software Developer to design, develop, and maintain scalable backend services and distributed systems that power our industry-leading…
Added 22 days ago
FH
Senior Data Engineer
Fraser Health
Surrey, BC
- Full-time
Hands-on experience with scripting, analytics, Microsoft Azure, and Microsoft BI tools (SQL, Python, PowerShell, JavaScript, SSIS, SSAS, SSRS, PowerBI)
Added 22 days ago
AI
Data Analyst (Contract, 6 months)
Ainsworth Inc
Mississauga, ON
- Full-time
…activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and…
Added 22 days ago
RB
Senior Manager, ALM Market Risk
Royal Bank of Canada
Toronto, ON
- Full-time
Excellent knowledge of MS Office applications, especially Excel and PowerPoint. Familiarity with SQL and relational databases, as well as programming languages (Python and Visual Basic) and…
Added 22 days ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
Work across SQL and NoSQL data stores, modeling data for scale, accuracy, and analytical value.
Added 23 days ago
NB
Chief Analyst, Capital Transformation
National Bank of Canada
Montreal, QC
- Temporary
analysis and programming tools such as Python, SQL, SAS, Snowflake, VBA or
Added 23 days ago
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Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
Expert-level proficiency in Informatica Intelligent Cloud Services (IICS), Python, Snowflake, and AWS cloud services and architecture.
Added 23 days ago
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Senior Manager, ALM Market Risk
RBC
Toronto, ON
- Full-time
Excellent knowledge of MS Office applications, especially Excel and PowerPoint. Familiarity with SQL and relational databases, as well as programming languages (Python and Visual Basic) and…

RBC

Lead Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Job Description

What is the opportunity?

Are you a hands-on data platform engineer who thrives on building cloud-native, high-scale data platforms and enabling teams on top of them? Come join us!

Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a new Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer, you will be a senior individual contributor and technical lead, owning the design and build of our AWS-based data platform and mentoring other engineers.

You will work 70–80% hands-on across AWS (EKS, S3, RDS, EMR, Glue, Airflow), Snowflake, Spark, and dbt to deliver cloud-native, governed, and reliable data systems.

What will you do?

Technical leadership and platform ownership
- Lead the technical direction for the AML Data Foundation Hub on AWS.
- Mentor and coach engineers (tech design reviews, pair programming, standards), influencing quality and delivery.
Cloud-native data platform on AWS (hands-on)
- Design and build secure, scalable data platforms using AWS S3, Glue, EMR, RDS, and EKS.
- Define patterns for data lake and warehouse integration (e.g., S3 + Snowflake) including partitioning, storage classes, encryption, and cost optimization.
- Implement Infrastructure-as-Code (e.g., CloudFormation/Terraform) for repeatable environments, networking, IAM roles/policies, and security baselines.
Data engineering and architecture (medallion)
- Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark), Spark on EMR, and dbt.
- Implement schema evolution, SCD/CDC, partitioning, and performance tuning across both compute and storage (S3, EMR, Snowflake, RDS).
Ingestion, orchestration, and observability
- Engineer resilient, observable ingestion patterns into S3/Snowflake/RDS.
- Orchestrate pipelines using Airflow (or equivalent) and/or AWS-native services (e.g., event triggers), enforcing SLAs, retries, idempotency, and alerting.
- Build operational dashboards and alerts for pipeline health, platform capacity, and cost.
Reliability, DR, and security
- Design for high availability, resiliency, and disaster recovery (multi-AZ,/region backup/restore, RPO/RTO-aware architectures).
- Implement secrets management, encryption, IAM least-privilege, and network security in partnership with Security and Platform/SRE.
- Participate in incident response and postmortems; drive root-cause fixes and hardening of the platform.
DevOps for data and platform enablement
- Own CI/CD for data and platform components: code review, environment promotion, automated tests (unit, integration, data contract), and versioned artifacts.
- Partner with Platform/SRE on SLIs/SLOs, capacity planning, and platform standardization across squads.
Cross-functional collaboration
- Translate AML business and control objectives into technical roadmaps, platform capabilities, and reusable patterns.

What do you need to succeed?

Must-have

Experience depth: 7+ years delivering production data pipelines and distributed systems at scale on cloud platforms; demonstrated ability to operate as a senior IC and technical lead influencing architecture and quality across a team.
AWS platform depth: Hands-on with S3, Glue, EMR, EKS, and RDS; proficiency with IaC (CloudFormation or Terraform), IAM least-privilege design, VPC/networking, and security baselines.
Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization across compute and storage.
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing, optimization, and tuning.
Data engineering and architecture: Medallion architecture patterns (Bronze/Silver/Gold), schema evolution, SCD/CDC, partitioning, and end-to-end pipeline performance tuning.
Orchestration and automation: Airflow (or equivalent) for DAGs, SLAs, retries, idempotency, and observability; Git-based workflows and CI/CD for data pipelines (e.g., GitHub Actions/Jenkins).
Reliability and security: Designing for HA/DR (multi-AZ, backup/restore, RPO/RTO); encryption, secrets management, and network security in partnership with Platform/SRE.
DevOps for data: Ownership of automated testing (unit, integration, data contract), environment promotion, and versioned artifacts.
Ways of working: Strong ownership, structured problem-solving, and clear technical communication; experience with incident response and postmortems.

Nice-to-have

dbt proficiency: Development, testing, documentation, and deployment of transformations with dbt.
Observability: Metrics, tracing, and logging practices across data pipelines and platform components.
Security and privacy: OAuth2/OIDC, data masking/tokenization, PII handling, and regulatory awareness in financial services or AML.
Regulated domains: Prior experience in financial services or other highly regulated industries.
Cloud depth: AWS certifications (e.g., Solutions Architect, Data Engineer) and hands-on familiarity with SageMaker or additional AWS-native data services.
Data governance: DQ frameworks, source-to-target reconciliation, lineage tooling, and purge/retention strategies.
Hadoop ecosystem: Exposure to legacy Hadoop stack where relevant to integration patterns.

What's in it for you?

As a team, we thrive on the challenge to be our best, encourage progressive thinking for continued growth, and collaborate with one another to deliver trusted advice to help our clients thrive and our communities prosper. We respect and care about all of our team members and support one another in reaching our fullest potential. We work together to make a difference in our communities and to achieve success that is mutual.

This opportunity will provide you with:

Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work, make a difference and lasting impact
Continuous learning and flexibility to work on projects that you are passionate about
Leaders who support your development through coaching and managing opportunities

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-06

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

Lead the technical design and development of a cloud-native data platform on AWS using a medallion architecture. Mentor engineering team members while ensuring the reliability, security, and scalability of data pipelines and infrastructure.

Requirements

Requires 7+ years of experience in data engineering and distributed systems on cloud platforms, specifically AWS. Proficiency in Snowflake, Spark, orchestration tools like Airflow, and Infrastructure-as-Code is essential for this senior role.

Skills

AWS
Data Engineering
Snowflake
Spark
dbt
Airflow
Infrastructure-as-Code
Terraform
CloudFormation
EKS
Python
Scala
SQL
Data Architecture
CI/CD
Distributed Systems

Benefits

Continuous learning
Professional development coaching
Collaborative work environment

Visa sponsorship

Not detected in the job text

Keywords

AWS
Data Engineering
Snowflake
Spark
dbt
Airflow
EKS
S3
Glue
RDS
Medallion Architecture
Infrastructure-as-Code
Terraform
CloudFormation
CI/CD
Distributed Systems
PySpark
Scala
SQL
Data Lake
Data Warehouse
IAM
VPC
SRE
DevOps
Disaster Recovery
Data Governance
Anti-Money Laundering
Financial Services
Cloud-native

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