Technical Lead, Data

This is a fully remote position, open to applicants in Canada.

📋 Description

• Oversee a team of data engineers on a daily basis, strategically aligning personnel to tasks and managing capacity.

• Foster a culture of ownership and technical leadership within the team.

• Conduct performance evaluations with established expectations and prompt actions.

• Recruit, onboard, and integrate new engineers into the team.

• Manage the architecture and operational health of the Data platform, which includes serverless services, batch and streaming pipelines, legacy systems, search indexes, and robust workflow orchestration.

• Propel advancements towards an enterprise-level data architecture, incorporating data contracts, lineage, data quality checks, and DataOps methodologies.

• Develop proactive monitoring systems for data flows to detect quality issues before they reach clients or advisors.

• Standardize incident response protocols, on-call responsibilities, runbooks, severity classifications, incident communications, and conduct blameless post-incident analyses.

• Ensure quality standards through design reviews, code assessments, testing rigor, and a shared definition of completion.

• Handle client data onboarding and implementation activities for the Data team.

• Collaborate with Product to translate client and advisor requirements into data capabilities.

• Contribute actively with code, particularly for new systems, high-stakes changes, and reference implementations.

• Assess and communicate team outcomes, including reliability, data quality, onboarding duration, and delivery predictability.

• Mentor other teams on workflow, observability, and data patterns.

• Leverage AI tools in development, reviews, and internal knowledge processes, while assisting in defining safe AI practices for financial data.

⛳️ Requirements

• Minimum of 7 years of professional software engineering experience, with at least 4 years dedicated to data engineering, data platforms, or ETL in a production environment.

• At least 2 years of experience as a team lead or tech lead, including responsibilities for hiring, performance management, and nurturing others into technical leadership roles.

• Extensive and current expertise in Node.js and TypeScript.

• In-depth experience in designing and managing data pipelines on AWS, particularly with serverless architectures.

• Practical production experience with Temporal.io or a similar durable workflow orchestration platform.

• Proficient in SQL with experience in relational databases and search technologies, such as PostgreSQL and OpenSearch or Elasticsearch.

• Proven ability to incorporate observability into data systems, including structured logging, metrics, dashboards, and alert systems.

• Experience in leading incident response efforts and conducting post-incident reviews that facilitate sustainable improvements.

• Demonstrated ability to delegate, take ownership, and cultivate a self-sufficient team.

• Experience in making engineering outcomes measurable and transparent to non-technical stakeholders.

• Ability to maintain composure under pressure.

• Python experience is considered a valuable addition.

• Familiarity with financial instruments or market data and reconciliation challenges is advantageous.

• Experience in a regulated industry and understanding of data privacy obligations such as PIPEDA is a plus.

• Knowledge of DataOps practices, data contracts, data lineage, or data quality frameworks is beneficial.

• Experience with AI-assisted development tools or creating AI tools for internal data is an advantage.

• Familiarity with Datadog or similar observability platforms is a bonus.

🏝️ Benefits

• Variable pay may be included based on the role.

• Equity options may be available depending on the role.

• Comprehensive benefits package.

• Flexible time-off policy.

• Dedicated opportunities for professional growth and development.

• Perks and benefits designed to promote personal growth and well-being.

• A work environment centered on trust, respect, and collaboration.