Closed listing
Senior AWS Snowflake Architect
- Markham, ON, Canada
Temporary
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Temporary
- 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 data solutions on Snowflake and AWS, including ingestion pipelines, transformations, data models, and lakehouse implementations. Lead platform optimization and migration initiatives, develop data products and Streamlit applications, and document architecture, data flows, and transformation logic.
Requirements
Requires 8 or more years of data architecture and engineering experience, ideally in insurance or financial services, with extensive hands-on expertise in Snowflake on AWS. Candidates should have experience with AWS Glue, Airflow, dbt, SQL, data modeling, governance, data quality, and workload migration, along with Python or Java proficiency; SnowPro Advanced certification is preferred.
Skills
- Snowflake
- AWS
- Data Architecture
- Data Engineering
- AWS Glue
- Apache Airflow
- dbt
- SQL
- Data Modeling
- ETL/ELT
- Python
- Java
- Data Governance
- Data Quality
- Cloudera Migration
- Snowflake ML
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- Snowflake
- AWS
- AWS Glue
- Snowflake Openflow
- Apache Airflow
- dbt
- SnowPro Advanced Certification
- Cloudera
- AWS Redshift
- Informatica IDMC
- Informatica PowerCenter
- Informatica BDM
- Streamlit
- Snowflake ML
- MLOps
- Lakehouse
- Medallion Architecture
- Data Architecture
- Data Engineering
- Data Transformation
- ETL/ELT
- Data Modeling
- SQL
- Python
- Java
- Data Governance
- Metadata Management
- Data Quality
- Data Lifecycle Management
- Policy Data Conversion