Technical Lead, Data

capintel; Canada; On-site; CAD 140,000 - 190,000; Full time

Job summary

CapIntel Inc. is seeking a Technical Lead for the Data team to own the pipelines, workflows, and services that ingest, normalize, and serve financial instrument data to advisors and institutions.

This hands-on leadership role splits time between building and mentoring, ensuring reliability and growth of the data platform. You'll lead data engineers, drive data quality, and partner with Product to translate client needs into scalable data capabilities, while contributing hands-on code for

Qualifications

• 7+ years of professional software engineering experience, with at least 4 years focused on data engineering, data platforms, or ETL in production.
• 2+ years leading engineers as a team lead or tech lead, including hiring, performance management, and growing others into technical leadership.
• Deep, current Node.js

Responsibilities

• Lead a team of data engineers day to day, matching people to work deliberately and planning capacity ahead of need rather than in reaction to it
• Own the architecture and health of the Data platform: serverless services, batch and streaming pipelines, legacy pipelines, search indexes, and durable workflow orchestration
• Drive the evolution toward an enterprise-grade data architecture, covering data contracts, lineage, data quality checks, and DataOps practices
• Own client data onboarding and implementation work for the Data team, making it faster and more predictable for clients and other teams.
• Measure and communicate the team's outcomes (reliability, data quality, onboarding time, delivery predictability) so leadership, other teams, and clients can see the impact

Skills

Node.js

Data engineering

Leadership

ETL

Job description

CapIntel is a software platform built for wealth management enterprises to help financial advisors explain complex investment strategies to their clients. Advisors at some of the biggest banks across North America are winning trust by using CapIntel to easily compare investments and create compelling, educational presentations. Ultimately, we're focused on investors getting better service, understanding their investments, and feeling at ease knowing their future is secure.

Since launching in 2019, CapIntel has seen rapid adoption and industry recognition, earning top placements in Deloitte's Technology Fast 50 Canada and Fast 500 North America in 2025, ranking us among the fastest-growing technology companies. To support this momentum, we're growing our team rapidly-investing in people who drive innovation at scale to expand our impact across the North American wealth management industry.

About the Role

As Technical Lead for the Data team at CapIntel, you'll own the platform that every CapIntel product depends on: the pipelines, workflows, and services that ingest, normalize, and serve financial instrument data and client portfolio data to advisors and institutions. This is a hands‑on leadership role. You'll split your time roughly evenly between leading the team and building alongside it, and you'll be accountable for both the reliability of the platform and the growth of the people who run it. The team has built a mature, observable platform. Durable workflow orchestration, standardized logging and metrics, continuous monitoring, and a quality‑first definition of done are now in place, and production incidents have become rare. Your job is to take that foundation to the next level: build a team that owns outcomes and can turn data reliability into a product advantage that advisors and investors actually feel. You'll work closely with the Data Product Manager, the other engineering team leads, Architecture, Client Solutions, and Implementation. You'll also be a go‑to resource for other teams adopting the workflow and observability patterns the Data team pioneered. This role is ideal for a senior data engineer who has already led a small team, prefers building leverage over being the hero, and gets energy from raising the bar for everyone around them.

What You'll Do

Lead the team

• Lead a team of data engineers day to day, matching people to work deliberately and planning capacity ahead of need rather than in reaction to it
• Grow ownership and technical leadership across the team, so delivery, client onboarding, and production support do not depend on any single person, including you
• Run performance management with clear expectations, and timely actions
• Hire, onboard, and ramp new engineers so they are independent quickly, and handle transitions and handovers without disruption to clients

Own the platform

• Own the architecture and health of the Data platform: serverless services, batch and streaming pipelines, legacy pipelines, search indexes, and durable workflow orchestration
• Drive the evolution toward an enterprise‑grade data architecture, covering data contracts, lineage, data quality checks, and DataOps practices
• Build systematic, proactive monitoring of data flows so data quality issues are caught before a client or advisor sees them
• Formalise and embed incident response for the team: on‑call expectations, runbooks, severity classification, communication during incidents, and blameless post‑incident reviews that actually change the system
• Keep the quality bar high through design review, code review, testing discipline, and a definition of done the whole team holds each other to

Deliver for clients

• Own client data onboarding and implementation work for the Data team, making it faster and more predictable for clients and other teams.
• Partner with Product to translate client and advisor needs into data capabilities that create visible, positive moments for users, not just a platform that stays up
• Contribute hands‑on code to the platform, particularly on new systems, high‑risk changes, and areas that need a reference implementation

Multiply beyond the team

• Measure and communicate the team's outcomes (reliability, data quality, onboarding time, delivery predictability) so leadership, other teams, and clients can see the impact
• Coach other teams on the workflow, observability, and data patterns the Data team owns, and contribute standards that other teams adopt because they work
• Use AI tooling as a core part of how the team works, from development and review agents to internal knowledge tools, and help define how the team uses AI safely on financial data

What We're Looking For

• 7+ years of professional software engineering experience, with at least 4 years focused on data engineering, data platforms, or ETL in production
• 2+ years leading engineers as a team lead or tech lead, including hiring, performance management, and growing others into technical leadership
• Deep, current Node.js a