Engineering Manager - Data Ingestion

TELUS•Edmonton, AB

About The Position

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.

Requirements

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

Nice 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

Responsibilities

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
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
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
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
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