Senior Data Architect modernizing Alberta justice data marts into an integrated enterprise data warehouse. Designing ETL, Power BI testing, data models, governance, and reporting architecture.
About the role
- Data Engineer optimizing data pipelines on Google Cloud platform for financial services. Collaborating with various teams to build scalable and AI-driven data architecture in a supportive environment.
Responsibilities
- Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP).
- Leverage GCP services such as: BigQuery (analytics data warehouse) Cloud Storage (raw data and data zones storage) Dataproc (distributed Spark/Hadoop processing) Cloud Run (deployment of data services and microservices)
- Participate in the implementation of modern data lakehouse architectures.
- Design and orchestrate data processing pipelines using Prefect.
- Implement robust, observable, and resilient workflows.
- Develop in modern environments (VS Code / Cloud Workstations).
- Manage source code using GitHub.
- Implement CI/CD pipelines with GitHub Actions.
- Automate deployments and infrastructure using Terraform (Infrastructure as Code).
- Prepare, transform, and structure data to support analytics and artificial intelligence use cases.
- Collaborate with data scientists to facilitate access to reliable and governed data.
- Implement DevOps/DataOps practices: Automated testing Pipeline monitoring Error handling and alerting Ensure data quality, traceability, and governance.
- Work collaboratively with: Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners
- Translate business needs into robust technical solutions.
- Document solutions and contribute to their continuous evolution.
Requirements
- Has 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field.
- Holds a degree in computer science, software engineering, or an equivalent field.
- Masters data modeling concepts (Data Vault, star schema, etc.).
- Has strong experience with: BigQuery and cloud analytics environments
- Distributed processing (Spark / Dataproc)
- Has expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent).
- Is comfortable with modern development practices: GitHub, GitHub Actions CI/CD
- Infrastructure as Code (Terraform)
- Is familiar with microservices-oriented architectures (Cloud Run or equivalent).
- Understands data governance, security, and cloud access management (IAM).
- Demonstrates strong analytical skills and the ability to propose relevant solutions.
- Shows autonomy, rigor, and a constant focus on quality.
- Thrives in an agile and multidisciplinary environment.
- Has excellent proficiency in French, both spoken and written.
- Has an intermediate level of English, as the role involves leading presentations and meetings with internal and external stakeholders on a weekly basis.
Benefits
- flexible group insurance
- competitive retirement plan
- employee share purchase plan
- vacation and wellness/personal development days
- telemedicine
- employee and family assistance program
- ergonomic equipment program
- performance bonus
- discounts on iA products
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Senior Data Architect integrating Alberta court data marts into an enterprise data warehouse. Designing ETL, data models, governance practices, and Power BI validation reports.
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