Sr Technology Architect
Burnaby, BC, CA Vancouver, BC, CA Edmonton, AB, CA Calgary, AB, CA Toronto, ON, CA
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: delivering high-value health analytics, advancing the forefront of health technology for a healthier world.
Our Data Engineering team is seeking a motivated technical leader to join us as Sr. Architect. As an Architect, you will work with a diverse team of highly collaborative and skilled Data Engineers, Full Stack Developers, DBAs, Cloud Engineers, Healthcare Professionals & last but not least AI/ML Engineers. With your strong background in data engineering you will enable complex data engineering projects for TELUS Health that entails designing, developing, and maintaining data pipelines and systems that support our healthcare data initiatives.
What you'll do
- Design and govern enterprise data architecture for the FHIR4 Extract Pipeline, ensuring scalability, performance, and compliance with healthcare regulations (HIPAA, PIPEDA)
- Lead architectural decisions for Apache Pyspark and Apache Flink-based streaming platforms processing millions of clinical records from MedAccess EMR, laboratory systems, and clinical devices
- Establish data governance frameworks for FHIR R4 standardization and healthcare data interoperability across diverse EMR systems
- Drive cloud-native architecture strategies leveraging Google Cloud Platform services (BigQuery, Cloud Storage, GKE, Healthcare API, Managed Kafka and others) for healthcare data platforms
- Architect or refine/optimize existing complex streaming data pipelines using Apache Flink, Kafka, and Ibis dataframes to transform healthcare data into standardized FHIR R4 resources
- Lead evaluation and optimization of existing data lake architectures in AWS and GCP (technologies including BigQuery, Parquet, Apache Iceberg and more) and continuous evaluation, experimentation and suggestion of new modern data lake architectures
- Design/implement microservices architectures with Docker containerization and Kubernetes orchestration using Flink Kubernetes Operator for cloud-native deployment patterns
- Champion observability and monitoring frameworks using Datadog, Dynatrace, Google Cloud Monitoring, AWS Cloudwatch for healthcare-critical data processing
- Guide and cultivate high-performing data engineering teams specializing in Pyspark, Flink, and healthcare data transformation.
- Partner with clinical stakeholders to guarantee FHIR compliance, precise clinical data, and seamless healthcare workflow integration.
- Orchestrate cross-functional projects involving healthcare IT professionals, data scientists, and clinical experts.
- Establish technical standards for schema management, evolution strategies, and healthcare data governance.
- Direct technical development leveraging AI-assisted development tools such as Cursor, Claude Code, Cline, RooCode, or Kilo Code.
What you bring
- Degree in computer science, computer engineering or related field
- 10+ years of experience in Data management
- Modern development practices using AI-assisted coding tools and advanced Python ecosystem management
- Expertise in designing, building, and optimizing large-scale data pipelines using ETL/ELT processes
- Advanced PySpark, Kafka, Flink ecosystem knowledge: Complex event processing, stateful stream processing, advanced streaming patterns and optimization knowledge
- Proven experience with data modeling, schema design, and data warehousing concepts
- Strong understanding of data governance, data quality, and data security principles
- Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases
- Familiarity with data visualization tools and reporting frameworks
Great-to-haves
- Masters or PhD in computer science, computer engineering or related field
- Healthcare AI/ML architecture experience including clinical decision support systems and population health analytics
- Google Cloud or AWS Professional Data Engineer or Professional Cloud Architect certifications
- Apache Flink or Kafka professional certifications
- Healthcare informatics certifications (CAHIMS, CPHIMS)
- Project management certification (PMP, Agile/Scrum Master)