[Hiring] Senior Manager, Data Engineering @Sterling Brokers

Role Description

This is a player/coach role for a hands-on data engineering leader. You will own the architecture, delivery, and strategic direction of our data platform while leading a small, high-performing team — today one full-stack data engineer, one analytics engineer, and a program manager. You will grow that team deliberately as the business scales, with a bias toward leverage: building tools, patterns, and platforms that multiply the team’s output rather than adding headcount in lockstep with demand.

Expect to split your time roughly 50/50 between building and leading. In a given week you may:

• Design a Unity Catalog governance model
• Review a teammate’s pipeline PR
• Write production code on a hard problem yourself
• Run your 1:1s
• Present a recommendation to the executive team

If you want a role that is purely managerial, or purely individual-contributor, this is not it — and we say that plainly so the right person self-selects in.

You will also serve as connective tissue between our internal technology function and our client experience team, keeping collaboration pragmatic, data-informed, and focused on outcomes.

We run a Databricks lakehouse on AWS — medallion architecture, Unity Catalog as our governance control plane, dbt for modeling, and Databricks Workflows plus Airflow for orchestration. Everything ships through CI/CD, and we’re moving self-serve analytics onto Databricks-native tooling like Genie. We favour governed, well-documented, reusable data over one-off pipelines.

Qualifications

• Leadership Experience — Required
• Technical Depth — Required
• Business Acumen — Non-Negotiable
• Nice to Have

Requirements

• Lead and develop the data engineering team with clear direction, regular 1:1s, candid performance feedback, and real growth opportunities.
• Grow the team deliberately and non-linearly — hire for leverage and invest in tooling and automation so output scales faster than headcount.
• Set technical standards and raise the bar through code review, design review, and pairing — modeling the engineering quality you expect.
• Build a team that documents extensively and creates way finding paths to that documentation.
• Design, build, and maintain scalable, reliable pipelines on Databricks.
• Stay hands-on in the codebase: write and review production Python and SQL.
• Own orchestration and reliability across Databricks Workflows and Airflow.
• Drive the near-term roadmap across three surfaces: self-serve analytics, embedded client-facing data products, and ML/AI enablement.
• Close the documentation and governance gaps that block trust in the data.
• Own the data roadmap and tie it tightly to company strategy and measurable business outcomes.
• Translate business questions into data work and back again.
• Proactively surface opportunities in our data that inform commercial decisions.
• Establish and enforce data governance using Unity Catalog as the control plane.
• Build practices that hold up to our compliance posture.

Benefits

• $130,000 - $170,000 (CAD) base salary
• Performance bonus opportunity
• Comprehensive health and wellness benefits
• Flexible Paid Time Off
• Remote-first
• Opportunities to grow with a high-performing, technology-enabled organization