
Senior Technology Architect
- Burnaby, BC
- $103,000-155,000 per year
- Permanent
- Full-time
- 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
- 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
- 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)
- Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
- Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
- Generous company matched pension and share purchase programs
- Opportunity to give back to communities in which we work, live and serve
- Career growth and learning & development opportunities to develop your skills
- And much more …
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