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Added 5 hours ago
Member of Technical Staff 4
Nutanix Indonesia
Vancouver, BC
$151,000 to $227,000 CAD / year
Full-time
Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements.
Added 5 hours ago
Member of Technical Staff 3
Nutanix Indonesia
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark.
Added 12 hours ago
Member of Technical Staff 3
Nutanix
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark.
Added 12 hours ago
Member of Technical Staff 4
Nutanix
Vancouver, BC
$151,000 to $227,000 CAD / year
Full-time
Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements.
Added 14 hours ago
Staff Software Engineer, Risk Data Engineering
Stripe
Canada
Full-time
…volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe…
Added 15 hours ago
Staff Software Engineer, Risk Data Engineering
Stripe
Toronto, ON
Full-time
…volume, is deeply knowledgeable of key tools including Airflow/Spark/Kafka/Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe…
Added 18 hours ago
Spark Scala developer
Apptoza Inc.
Toronto, ON
Contract
Job Description We are seeking a skilled Spark Scala Developer to join our team. The ideal candidate will have experience developing data processing applications using Apache Spark and…
Added 20 hours ago
Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 CAD / hour
Contract
The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 20 hours ago
Developer (Spark and Scala Exp)
Confiar Services
Toronto, ON
$40 to $45 CAD / hour
Contract
We are looking for an experienced Spark with Scala Developer with a strong Java background to design, develop, and optimize large-scale data processing applications. The ideal candidate…
Added 8 days ago
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
Full-time
Experience with SQL, NoSQL, Python , Spark/PySpark, Scala.
Added 6 days ago
Senior Manager, Engineering & Build
RBC
Toronto, ON
Full-time
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.
Added 4 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features…
Added 3 days ago
Data Engineer
EPITEC
Toronto, ON
Contract
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 4 days ago
ETL Data Engineer - Assistant Vice President
Citi
Mississauga, ON
Full-time
Experience developing applications using Spark, Scala, Java or Python is a plus
Added 4 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 4 days ago
Spark Scala Java Developer
Pacer Group
Toronto, ON
$55 to $60 CAD / hour
Contract
Experience developing scalable data processing applications using Apache Spark and Scala.
Added 5 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
Experience developing secure server side services leveraging the following APIs: Spring, Spring Boot, Spark, Scala, RESTful Webservices, Apache Data Utilities (JSON, Avro, CSV/PSV,…
Added 4 days ago
Spark Scala Java Developer
Pacer Group
Toronto, ON
$60 to $62 CAD / hour
Contract
Proficient in Scala and Java programming.Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).Familiarity with Maven for build and dependency management.Experience with…
Added 4 days ago
Scala Developer
Pacer Group
Toronto, ON
$60 to $65 CAD / hour
Contract
Job Title: Java Developer with Spark and Scala
Added 6 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
Royal Bank of Canada
Toronto, ON
Full-time
As the Data Analyst, you will provide expertise for Data Management spanning both platforms and projects. At the core of the role is a detailed understanding of Data management principles…
Added 5 days ago
Big Data Developer
Cogency
Toronto, ON
Full-time
Cogency Inc. is seeking a skilled Big Data Developer / Data Engineer with strong expertise in Spark, Snowflake, AWS, Airflow, Big Data technologies, and ETL. The successful candidate will…
Added 6 days ago
2027 Investor Services, PEY Data Analyst (12-16 months)
RBC
Toronto, ON
Full-time
As the Data Analyst, you will provide expertise for Data Management spanning both platforms and projects. At the core of the role is a detailed understanding of Data management principles…
Added 5 days ago
Data Engineer
Soroc Technology
Toronto, ON
$45 to $55 CAD / hour
Contract
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 5 days ago
Technology Lead - AWS Data Engineer
Infosys
Burnaby, BC
Full-time
Infosys is seeking an experienced Data Engineer with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise…
Added 6 days ago
Senior Data Engineer
BMO
Toronto, ON · SCC
Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala

RBC

Senior Manager, Engineering & Build

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

Are you a hands-on data engineering leader who thrives on building high-performing teams and high-scale data platforms? 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 Data Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture.

As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable data systems.

What will you do?

Lead, mentor, and grow a high-performing team; drive delivery excellence, coaching, goal setting, and continuous improvement.
Design and build batch and incremental pipelines across Bronze/Silver/Gold layers using Snowflake (Streams, Tasks, Snowpark, Snowpipes), Spark, and dbt.
Implement schema evolution, SCD/CDC, partitioning, and performance tuning.
Architect for reliability, scalability, and cost efficiency on cloud platforms.
Containerize jobs/services, run on Kubernetes/OpenShift, apply IaC, and secure secrets and credentials.
Own CI/CD for data (code review, environment promotion, data contract testing), versioned artifacts, and environment parity.
Partner with Platform/SRE on SLIs/SLOs, incident response, and postmortems.
Engineer resilient, observable ingestion patterns (batch first, with optional near-real-time).
Orchestrate with Airflow (or equivalent); enforce SLAs, retries, idempotency, and alerting.
Establish DQ controls (profiling, constraints, dbt tests), source-to-target reconciliation, and end-to-end lineage.
Implement purge/retention aligned to AML and regulatory requirements.

What do you need to succeed?

Must-have:

Experience depth: 10+ years in engineering delivering production pipelines and distributed systems at scale; 2–4+ years leading engineers with a proven balance of hands-on and people leadership.
Snowflake expertise: Hands-on with Streams, Tasks, Snowpark, and Snowpipe; strong SQL and warehouse design; performance optimization.
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.
Modeling and architecture: Strong data modeling (3NF/dimensional/data vault) and medallion architecture patterns (Bronze/Silver/Gold).
Data governance controls: Data quality frameworks, source-to-target reconciliation, lineage concepts and tooling, purge/retention strategies.
Orchestration and automation: Airflow (or equivalent) for DAGs, SLAs, retries, and observability; Git-based workflows and CI/CD for data (e.g., GitHub Actions/Jenkins).
Dbt proficiency: Development, testing, documentation, and deployment of transformations with dbt.
Cloud-native and platform: Containers, Kubernetes/OpenShift, Infrastructure-as-Code, and secure secret management; understanding of cost/performance trade-offs.
Ways of working: Strong ownership, and excellent problem solving and communication; incident management and postmortems.
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).

Nice-to-have:

Streaming and events: Kafka/CDC for near-real-time enrichment into batch layers.
Observability: Metrics, tracing, and logging practices and tooling across data pipelines.
Security and privacy: OAuth2/OIDC, data masking/tokenization, PII handling, and regulatory awareness in financial services/AML.
Regulated domains: Experience in financial services or other highly regulated industries.
Cloud depth: Certifications (AWS) and familiarity with services such as Glue, EMR, EKS, SageMaker.
Stakeholder management: Ability to influence and align diverse technical and non-technical partners.
Hadoop ecosystem exposure (as legacy integration), where applicable.

What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to take on progressively greater accountabilities
Access to a variety of job opportunities across business and geographies

Job Skills

Application Development, Application Integrations, Application Maintenance, Applications Architecture, Big Data Management, Cloud Computing, Commercial Acumen, Data Warehousing (DW), Distributed Computing, Enterprise Application Delivery, ETL Pipelines, Information Technology Management, Programming Languages, Snowflake Data Warehouse, Software Development Life Cycle (SDLC), Software System Design, System Applications

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:

2026-05-14

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 and mentor a high-performing engineering team while contributing hands-on to the design and delivery of cloud-native data systems. Oversee the development of batch and incremental pipelines using Snowflake, Spark, and dbt while ensuring reliability, scalability, and data governance.

Requirements

Requires 10+ years of experience in engineering production pipelines and distributed systems, with 2-4 years of leadership experience. Must possess deep expertise in Snowflake, Spark, data modeling, and cloud-native infrastructure.

Skills

Data engineering
Snowflake
Spark
Dbt
Airflow
Python
Scala
Java
Kubernetes
OpenShift
Cloud computing
Data modeling
CI/CD
Infrastructure-as-code
Distributed systems
Leadership

Benefits

Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and management opportunities
World-class training program
Flexible work/life balance options

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Spark
Dbt
Airflow
Kubernetes
OpenShift
Cloud-native
CI/CD
Infrastructure-as-code
Data Modeling
Medallion Architecture
Python
Scala
Java
AWS
Data Governance
Anti-Money Laundering
Financial Services
Distributed Systems
SCD/CDC
SQL
Observability
Git
GitHub Actions
Jenkins
Data Quality
Lineage
Batch Processing
Containerization

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