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Added 18 days ago
KC
Site Reliability Engineer
KPMG Canada
Vaughan, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 18 days ago
SM
Backend Platform Engineer - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
Keep the real-time connection layer that devices rely on healthy and reliable, partnering with our firmware engineer.
Added 18 days ago
Full Stack Engineer, Central Processing and Management Information (CPMI)
HSBC Global Services Limited
Toronto, ON
Join the Central Processing and Management Information (CPMI) technology team in Toronto as a Software Engineer focused on full stack development across JavaScript, Node.js, and modern…
Added 18 days ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development
Added 18 days ago
L
Database Administrator
LCBO
Toronto, ON
- Full-time
Assist with license management and ensure database platform usage aligns with licensing and support requirements.
Added 18 days ago
Sr Software Dev Engineer III, RDS for Oracle
Amazon
Vancouver, BC
Amazon Web Services is hiring a Software Development Engineer III for the RDS for Oracle team. We are looking for an experienced engineer to design and build the next generation of managed…
Added 18 days ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and…
Added 18 days ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 18 days ago
A
Database Platform Engineer
AppDirect
Montreal, QC
- Full-time
We are looking for a Database Platform Engineer to join our Data Platform team. You are a highly technical professional with an entrepreneurial spirit and a data-as-a-service mindset. You…
Added 18 days ago
PT
Software Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a Software Engineer to join our core product team and own meaningful chunks of the platform end-to-end. This isn't a role where you get handed a Jira ticket and a fully-specced…
Added 19 days ago
PU
Staff Software Engineer – Data Systems
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
…entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include…
Added 19 days ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 19 days ago
AI Engineer Sr
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 19 days ago
RB
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
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!
Added 19 days ago
H
Senior Data Engineer
Hays
Toronto, ON
- $75 to $80 CAD / hour
- Contract
Troubleshoot and resolve data-related issues across development, test, UAT, and production environments.
Added 19 days ago
R
Lead Data Engineer
RBC
Toronto, ON
- Full-time
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!
Added 20 days ago
KC
Site Reliability Engineer
KPMG Canada
Kitchener, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 22 days ago
C
Backend Engineer
Creator.co
Vancouver, BC
- Full-time
We are looking for a Mid-Level Backend Engineer who has "architectural empathy" - someone who writes clean Node.js code but keeps a sharp eye on how that code impacts database load, data…
Added 22 days ago
C
Automation Engineer / Specialist
CertainTeed
Delta, BC
- Full-time
The Automation Engineer/Specialist will assist with the development and implementation of World Class Manufacturing (WCM) projects, production, processing methods and controls. Through the…
Added 22 days ago
Senior Software Engineer
Spotify
Toronto, ON
Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform. Our team builds and operates the authorization and permissioning systems that enable…
Added 22 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Implement scalable ETL/data transformation workflows using Databricks or similar platforms
Added 22 days ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions
Added 22 days ago
B
Staff Software Engineer, User Targeting
Braze
Toronto, ON
- Full-time
Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions
Added 22 days ago
TC
Lead Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- $110,000 to $130,000 CAD / year
- Full-time
Two Circles is looking for a Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be a key part of our Partnership Intelligence > Measurement Team that…
Added 23 days ago
RB
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Waterfall Model

RBC

Lead Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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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.

Apply About employer

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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