Architect and implement advanced data solutions using Snowflake on AWS ensuring scalable secure and high performance data environmentsExtensive experience 8 years in data architecture and engineering with a proven track record in largescale data transformation programs ideally in insurance or financial servicesProven experience in architecting and implementing advanced data solutions using Snowflake on AWSExpertise in design and orchestrating data acquisition pipelines using AWS Glue for ETLELT Snowflake OpenFlow and Apache Airflow for workflow automation enabling seamless ingestion of different data from diverse sourcesDeep expertise in Snowflake with hands on experience delivering Snowflake as an enterprise capabilityHandson experience with AWS Glue for ETLELT Apache Airflow for orchestration and dbt for transformation preferably deployed on AWS ECSProven experience in DBT to manage and automate complex data transformations within Snowflake ensuring modular testable and version controlled transformation logicExperience in implementing the lake house solution Medallion architecture for financial or insurance carriersExperience in optimizing and tune Snowflake environments for performance cost and scalability including query optimization and resource managementExperience in architecting lead migration of workloads from Cloudera to SnowflakeExperience in evaluating the data technology platform including data governance suites data security productsDevelop robust data models and data pipelines to support data transformation integrating multiple data sources and ensuring data quality and integrityDocument architecture data flows and transformation logic to ensure transparency maintainability and knowledge sharing across teamsStrong knowledge of data lifecycle mgmt data retention data modelling and working knowledge of cloud computing and modern development practicesSecondary Skills

Familiarity with data mesh principles data product delivery and modern data warehousing paradigmsExperience in Designing Streamlit apps and define new capabilities and data products leveraging snowflake ML and MLOPS capabilitiesKnowledge of scripting languages PythonJavaExperience with data governance metadata management and data quality frameworks eg Collibra InformaticaExperience in Insurance DomainExperience in converting policydata conversion from legacy to modern platformExposure to enterprise Datawarehouse solution like Cloudera AWS Redshift and informatica tool sets IDMC powercenter BDMSkills

Mandatory Skills: Data Architecture, Data lakehouse ArchitectureWe are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive setting for all employees

📌 Data Architect (Winnipeg)
🏢 Enterprise Solutions
📍 Winnipeg