Engineering Manager - Data Ingestion
Toronto, ON, CA Vancouver, BC, CA Calgary, AB, CA Edmonton, AB, CA Burnaby, BC, CA
Join our team and what we'll accomplish togetherDescription
The Enterprise Analytics Platform team at TELUS is undergoing an exciting transformation. We are restructuring around a product ownership mindset, and we're building a world-class Data Foundations function that will become the backbone of data ingestion across TELUS Health, Digital, Agriculture and the broader organization.
As Manager of Data Foundations, you'll consolidate multiple Google Cloud Platform (GCP) deployments into a unified, standardized operating model. You'll own the operational transition of our data ingestion services moving from fragmented, deployment-specific teams to a cross-trained organization that serves the entire business. But more than a transformation program, you will be directly accountable for the reliability, freshness and correctness of production data pipelines at scale.
This role is for an engineering leader who builds and runs things, not someone who facilitates others doing it. You raise the technical bar by example, reviewing architecture, improving on-call practices, eliminating manual work through better engineering; and you develop the next generation of strong engineers on your team.
What you will do
Platform Operations & Site Reliability
- Accountable for the uptime, freshness, and quality of TELUS's data ingestion layer through production system ownership
- Design and own the SRE function for Level 1 data ingestion across all GCP deployments: alert policy design, SLO definition, incident management, and on-call operations
- Eliminate manual data quality checks through engineering; build automated assurance into the platform itself
Develop People
- Build and lead a team of 10–13 FTEs with a cross-training model that eliminates single-deployment dependencies and creates engineers who can own any system, handle any incident
- Invest in technical growth through coaching, stretch assignments, and mentorship—you set the standard for what good engineering looks like, and people get better because of you
- Guide offshore development and tier-1 support teams, ensuring end-to-end capability delivery; your success is measured by what the full team can do without you
Raise the Technical Bar
- Review and correct architectural designs across the platform; you set the standard for what good engineering looks like and your technical judgment is a quality gate
- Establish and enforce best practices in IaC, pipeline design, Kubernetes operations, and streaming data patterns
- Drive the multi-deployment consolidation: one operating model, one onboarding standard, one SRE function—executed with engineering rigour
Onboarding & Self-Serve Tooling
- Be responsible for establishing foundational data pipelines while owning the onboarding standard and self-serve tooling to empower business units to develop their own data ingestion capabilities
- Build and execute prioritized onboarding roadmap that reduces onboarding time to accelerate time-to-value for business units
- Work across multiple business units (Health, Digital, Agriculture, Telecom) to understand and support their data ingestion needs
Stakeholder Management & Influence
- Work across multiple business units and technical teams, building influence without formal authority
- Partner with the Analytics Platform team (BI, Looker, Tableau, query platforms) to ensure seamless data flow
- Communicate technical complexity to non-technical stakeholders and translate business needs into platform roadmap priorities
What you bring
- Hands-on experience in data engineering or platform engineering (pipelines, infrastructure, Infrastructure as Code); you can review and improve the work, not just manage it
- Deep experience with Kafka and streaming data movement patterns
- Strong GKE/Kubernetes experience with ability to review and correct architectural designs
- Strong grounding in alert policy design, SLO definition, incident management, and on-call operations
- Proven track record managing complex technical transitions and building operational discipline
- Experience consolidating or unifying fragmented systems into a cohesive operating model
- 3+ years experience managing technical teams (ideally 8+ people) with a focus on cross-training and eliminating silos, and developing technical talent
- Comfort with distributed teams and experience managing offshore or remote team members
- Ability to develop technical talent and foster a culture of learning and accountability
- Comfort working across multiple business units and building influence without formal authority
- Strong communication skills, able to translate technical complexity for non-technical audiences
Great-to-Haves
- Experience with Google Cloud Platform (GCP) and BigQuery at scale
- Familiarity with data mesh or data platform architecture patterns
- Experience with product-oriented team structures or product management mindsets
- Background in a regulated industry (healthcare, telecommunications) or experience with compliance-driven data requirements
- Experience building self-serve platforms or developer experience (DX) improvements
- Exposure to agile or lean methodologies in an operations context