Engineering Manager, Data

Unchain Data; Toronto; Hybrid; CAD 200,000 - 235,000; Full time

Benefits offered by this job

Equity

Bonus

Health insurance

AI tools access

Flexible benefits

Paid time off

Office amenities

Commuter stipend

Job summary

Robinhood in Toronto, ON is seeking an Engineering Manager for the Data Engineering team. You will lead a 10-person team, balance people management with hands-on contributions, and drive data initiatives that power global products.

Collaborate with Data Science, ML, Product, and Business Operations to deliver scalable pipelines and reliable datasets, while shaping roadmaps and building intelligent tooling through AI.

Qualifications

• Minimum 3+ years as an engineering manager with 5+ years as engineer or data engineer.
• Hands-on review of code and architecture during delivery.
• Experience building scalable data pipelines and datasets.

Responsibilities

• Lead and grow a Toronto-based data engineering team of about 10 engineers.
• Drive roadmaps and translate ambiguous requirements into engineering goals.
• Partner with Data Science, ML, Product, and Business Operations to deliver data products.

Skills

Engineering management experience

Python

Apache Spark

AWS

Databricks

Delta Lake

Flink

Pinot/Druid

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Our Core Data Engineering team is responsible for designing and building all foundational datasets used across Robinhood and within our operational business areas. We build the foundational data models and core data layers that are consumed by downstream users, ensuring high data quality and reliability. We also develop internal data and AI tooling that enables teams across the company to scale their data development workflows efficiently. Our team collaborates with engineering, product, brokerage, crypto, and marketing teams to expand and grow Robinhood's products around the world ! We also partner with Machine Learning teams to build robust training datasets that power intelligent product features.

As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will balance technical leadership with people management, dedicating approximately 60% of your time coaching and 40% to hands-on technical contributions, such as code and architecture reviews. You will drive roadmap planning and establish clear goals for the team, particularly as we expand into new markets and scale systems. Additionally, you will play a crucial role in building more intelligent tooling through AI to help our organization scale! You will collaborate closely with partners in Data Science, Machine Learning, Product Management, and Business Operations to deliver high-quality data products.

This role is based in our Toronto, ON office(s), with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Lead, coach, and expand an exceptional team of 10 data engineers based in Toronto, setting a high standard for execution and team growth.
• Actively participate in technical execution, including code reviews and architecture, assessing data quality, and unblocking daily technical challenges.
• Define roadmaps and execution plans for core data engineering initiatives, effectively taking on a product management focus to translate ambiguous requirements into clear engineering goals.
• Build a platform that makes Robinhood's data discoverable, understandable, and usable for both people and AI - through semantic models, metadata, and developer tooling that turn trusted data into a reusable, company-wide asset.
• Partner with Data Science, ML, and Business Operations teams to build and maintain reliable, scalable data pipelines and foundational datasets that support product expansion and business operations.

What you bring

• 3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
• Strong hands-on experience with Python and Apache Spark, along with familiarity with cloud platforms like AWS and data technologies such as Databricks, Delta Lake, Flink, or Pinot/Druid.
• Proven ability to drive clarity in ambiguous situations, take ownership of project planning, and guide engineering execution without relying on dedicated project managers.
• Demonstrated track record of building and maintaining reliable, large-scale data pipelines and foundational datasets.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, creative problem-solving, and technology.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career.
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership.
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs.
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.

Base Pay Range:

Toronto, ON$200,000—$235,000 CAD

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.