Senior Data Engineer

Socket.dev; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Total Rewards Program

Bonuses and stock where applicable

Leadership coaching and development

Dynamic, collaborative team

Job summary

RBC is seeking a Data Platform Engineer to join the Data Platform Engineering team in Toronto. You will build and operate the enterprise data transformation layer powered by Starburst Trino and DBT, enabling analytics teams to access trusted, well-modeled data at scale.

You will develop internal tooling in Python, Java or TypeScript to automate workflows and improve developer experience. Responsibilities include managing Starburst Trino clusters, building tooling for automation, CI/CD pipelines,

Qualifications

• Proficient in SQL with distributed engines (Trino/Presto).
• Experience in Python or TypeScript for automation and tooling.
• Familiar with CI/CD pipelines, containerized deployments, and GitOps workflows.
• Strong understanding of data warehousing, dimensional modeling, and data quality.
• Excellent communication and collaboration across stakeholders.
• Exposure to data lakehouse architectures (S3, Hive Metastore, Iceberg).

Responsibilities

• Operate and evolve Starburst Trino cluster configurations and security policies.
• Build internal tooling in Java/Python/TypeScript to automate workflows and improve self-service data access.
• Manage CI/CD pipelines and container deployments for reliable releases.
• Translate business requirements into data architecture decisions and orchestration design.
• Monitor production data pipelines and DAG schedules, resolve failures, maintain SLAs.
• Identify automation opportunities to reduce manual work and accelerate insights.

Skills

SQL proficiency

Python or TypeScript

CI/CD pipelines

Data warehousing concepts

Communication skills

Data lakehouse exposure

Tools

GitHub Actions

Docker

Kubernetes/OpenShift

Dagster

Job description

Job Description

What is the opportunity?

Join our Data Platform Engineering team to build and operate the enterprise data transformation layer powered by Starburst Trino and DBT. You will be part of the platform team that enables analytics teams across the organization to access trusted, well-modeled data at scale. Beyond maintaining infrastructure, you will develop internal tooling in Python, Java or TypeScript to automate workflows, improve developer experience, and expand self-service capabilities, directly shaping how consumers interact with data and driving measurable improvements to platform reliability, performance, and adoption.

What will you do?

• Operate and evolve Starburst Trino cluster configurations, including query optimization, cost governance, catalog management, and security policy enforcement.

• Build internal tooling and platform capabilities in Java and/or Python and/or TypeScript to automate operational workflows, enhance self-service data access, and improve the overall consumer experience.

• Manage CI/CD pipelines and container-based deployments using GitHub Actions, and Kustomize/OCP to ensure reliable, repeatable releases across environments.

• Collaborate with stakeholders to translate business requirements into data architecture decisions - including materialization strategies, access controls, and pipeline orchestration design.

• Monitor production data pipelines and orchestration schedules within Dagster, troubleshoot failures, and maintain adherence to operational SLAs and service standards.

• Identify opportunities for automation, process improvement, and platform capability enhancements that reduce manual effort and accelerate time-to-insight for consumers.

• Foster relationships with analytics consumers, infrastructure partners, and leadership to drive platform adoption and champion data engineering best practices.

What do you need to succeed?

Must Have

• SQL proficiency with hands-on experience writing and optimizing queries in distributed query engines (Trino, Presto, or similar).

• Proficiency in Python or Typescript with experience building scripts, CLI tools, or automation for data platform operations.

• Familiarity with CI/CD pipelines, containerized deployments, and GitOps workflows (GitHub Actions, Docker, Kubernetes/OpenShift).

• Solid understanding of data warehousing concepts, dimensional modeling, and data quality practices.

• Strong communication and collaboration skills with the ability to work across technical and non-technical stakeholders.

• Exposure to data lakehouse architectures, object storage (S3), and catalog technologies (Hive Metastore, Iceberg).

Nice to Have

• Experience building and maintaining data transformation pipelines using DBT (model design, testing, macros, documentation).

• Experience with TypeScript and building internal web-based tooling or developer-facing UIs.

• Familiarity with pipeline orchestration frameworks such as Dagster.

• Experience with Starburst Enterprise or Starburst Galaxy specifically, including role-based access control and cluster tuning.

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

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Opportunities to do challenging work

• Opportunities to take on progressively greater accountabilities

• Opportunities to building close relationships with clients

• Access to a variety of job opportunities across business and geographies.

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 WATERPARK PLACE, 88 QUEENS QUAY 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: 2026-09-10

Application Deadline: 2026-09-30

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.