Engineering Manager - Data Ingestion
Job Description
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