Data Architect

Location: Markham, Ontario, Canada (Hybrid)

Salary: CA$68,000.00–CA$70,000.00 yearly

Contract: Full-time

Responsibilities

- Architect and implement advanced data solutions using Snowflake on AWS ensuring scalable secure and high performance data environments
- Extensive experience 8 years in data architecture and engineering with a proven track record in largescale data transformation programs ideally in insurance or financial services
- Proven experience in architecting and implementing advanced data solutions using Snowflake on AWS
- Expertise in design and orchestrating data acquisition pipelines using AWS Glue for ETLELT Snowflake Open Flow and Apache Airflow for workflow automation enabling seamless ingestion of different data from diverse sources
- Deep expertise in Snowflake with hands‑on experience delivering Snowflake as an enterprise capability
- Hands‑on experience with AWS Glue for ETLELT Apache Airflow for orchestration and dbt for transformation preferably deployed on AWS ECS
- Proven experience in DBT to manage and automate complex data transformations within Snowflake ensuring modular testable and version controlled transformation logic
- Experience in implementing the lake house solution Medallion architecture for financial or insurance carriers




- Experience in optimizing and tune Snowflake environments for performance cost and scalability including query optimization and resource management
- Experience in architecting lead migration of workloads from Cloudera to Snowflake
- Experience in evaluating the data technology platform including data governance suites data security products
- Develop robust data models and data pipelines to support data transformation integrating multiple data sources and ensuring data quality and integrity
- Document architecture data flows and transformation logic to ensure transparency maintainability and knowledge sharing across teams
- Strong knowledge of data lifecycle mgmt. data retention data modelling and working knowledge of cloud computing and modern development practices

Skills

- Familiarity with data mesh principles data product delivery and modern data warehousing paradigms
- Experience in Designing Streamlit apps and define new capabilities and data products leveraging snowflake ML and MLOPS capabilities
- Knowledge of scripting languages Python Java
- Experience with data governance metadata management and data quality frameworks e.g. Collibra Informatica
- Experience in Insurance Domain
- Experience in converting policy data conversion from legacy to up-to-date platform
- Exposure to enterprise Data warehouse solution like Cloudera AWS Redshift and informatica tool sets IDMC power center BDM

📌 Claims Analyst (Canada)
🏢 Aviva
📍 Canada