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AWS Snowflake Architect
- Markham, ON, Canada
Contract
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The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Experience and Capabilities:
· Extensive experience ( 8 + years) in data architecture and engineering, with a proven track record in large - scale
· data transformation programs, ideally in insurance or financial services.
· Proven experience in architecti ng and implementing advanced data solutions using Snowflake on AWS,
· Expertise in d esign and orchestrati ng data acquisition pipelines using AWS Glue for ETL/ELT , Snowflake
· OpenFlow and Apache Airflow for workflow automation, enabling seamless ingestion of different data from
· diverse sources.
· 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 o ptimiz ing 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
· Design Streamlit apps and define new capabilities and data products leveraging snowflake ML and LLOPS
· capabilities .
· Experience in evaluating the data technology platform including da ta governance suites, data security
· products
· Exposure to enterprise Datawarehouse solution like Cloudera , AWS Redshift and informatica tool sets - IDMC,
· powercenter, BDM
· 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 d ata lifecycle mgmt., data retention, data modelling and working knowledge of cloud
· computing, and modern development practices.
· Experience with data governance, metadata management, and data quality frameworks (e.g., Collibra ,
· Informatica ).
· Experience in converting policy/data conversion from legacy to modern platform
· Deep expertise in Snowflake (Snowpro advanced certification preferred), with hands - on experience delivering
· Snowflake as an enterprise capability.
· Hands - on experience with AWS Glue for ETL/ELT, Apache Airflow for orchestration, and dbt for
· transformation (preferably deployed on AWS ECS).
· Proficiency in SQL, data modeling, ETL/ELT processes, and scripting languages (Python/Java).
More about this job
Responsibilities
Architect and deliver enterprise-scale Snowflake data solutions on AWS, including ingestion pipelines, transformations, data models, and workload migrations from Cloudera. Optimize platform performance, cost, and scalability; document architecture and data flows; and develop data products using Snowflake ML and Streamlit.
Requirements
Requires 8+ years of data architecture and engineering experience, ideally in insurance or financial services, with deep hands-on Snowflake expertise. Candidates should have experience with AWS Glue, Airflow, dbt, SQL, data modeling, ETL/ELT, scripting, governance, and data quality; SnowPro Advanced certification is preferred.
Skills
- Snowflake Architecture
- AWS Glue
- Apache Airflow
- dbt
- SQL
- Data Modeling
- ETL/ELT
- Python
- Java
- Data Governance
- Data Quality
- Snowflake Performance Optimization
- Data Migration
- Medallion Architecture
- AWS
- Streamlit
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- Snowflake
- AWS
- AWS Glue
- Snowflake OpenFlow
- Apache Airflow
- dbt
- Cloudera
- AWS Redshift
- Informatica IDMC
- Informatica PowerCenter
- Informatica BDM
- Streamlit
- Snowflake ML
- MLOps
- SQL
- Python
- Java
- ETL/ELT
- Data Architecture
- Data Engineering
- Data Modeling
- Data Governance
- Metadata Management
- Data Quality
- Medallion Architecture
- Lakehouse
- Data Migration
- Query Optimization
- Data Lifecycle Management
- SnowPro Advanced