Senior Technology Architect

Join our team and what we'll accomplish together
As the Health Data Office team within TELUS Health, our mission is to responsibly leverage health data for innovation, unlocking vast potential with AI, data enablement, and interoperability. Our focus is delivering high‑value health analytics, advancing the forefront of health technology for a healthier world.

TELUS Health is seeking a senior technical leader to join our Data Engineering organization as a Senior Architect, responsible for the end‑to‑end architecture of large‑scale, data‑centric platforms where data pipelines, complex workflows, and streaming systems are the core product. In this role, you will collaborate with a diverse, highly skilled team of Data Engineers, Full Stack Developers, DBAs, Cloud Engineers, AI/ML Engineers, and healthcare professionals to design and evolve real‑time and batch data platforms operating across AWS and Google Cloud Platform environments, with primary depth in GCP.

We are looking for an architect with a proven track record of designing production‑grade, data‑intensive systems that integrate scalable data pipelines, APIs, and data‑centric microservices into cohesive, reliable, and compliant platforms built for long‑term evolution.

What You Will Do

Lead enterprise‑level architecture for TELUS Health data platforms, spanning ingestion, streaming, transformation, storage, APIs, and consumption

Architect complex data workflows and high‑volume streaming pipelines, leveraging platforms such as Kafka, Pub/Sub, Apache Flink, Dataflow, PySpark and Big Query

Define architectural patterns for event‑driven, stateful, and hybrid batch/stream systems

Establish standards for data modeling, schema management, versioning, and interoperability (including FHIR R4)

Design data‑centric microservices and APIs, with strong data contracts and lifecycle management

Drive multi‑cloud, cloud‑native data architecture across GCP and AWS (GCP emphasis)

Embed data governance, privacy, compliance, and reliability into platform design

Act as a senior technical authority, mentoring engineers and influencing architectural direction across teams

Orchestrate cross‑functional projects involving healthcare IT professionals, data scientists, and clinical experts

What you bring

Degree in computer science, computer engineering or related field

10+ years designing and delivering large‑scale, data‑intensive platforms

Deep expertise in data architecture, including streaming pipelines, complex transformations, and distributed processing

Proven ability to design end‑to‑end systems integrating data pipelines, storage, APIs, and services

Strong understanding of event‑driven architectures and data‑centric microservices

Hands‑on experience with cloud‑native data platforms, including services such as Pub/Sub, Dataflow, Big Query, Kafka, Flink, PySpark and Big Query

Experience designing systems where data scale, correctness, latency, and reliability are critical

Modern development practices and experience with AI‑assisted coding and productivity tools

Strong grasp of data governance, security, and privacy in regulated environments

Nice to have

Healthcare or clinical data experience

Real‑time analytics or AI/ML‑enabled data platforms

GCP or AWS Professional Certifications

Advanced degree or PhD in computer science, engineering, or related field

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