AWS Snowflake Architect (Hybrid, Markham, Ontario)
- Markham, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
- Posting language
- English
- Posted
Original job description
Requirements:
- 8+ years of experience in Data Architecture, Data Engineering, or enterprise data platform development.
- Strong expertise in Snowflake architecture, data warehousing, and enterprise-scale data platforms.
- Hands-on experience with AWS cloud services and designing scalable, cloud-based data solutions.
- Strong experience with AWS Glue, Apache Airflow, and dbt for data integration and transformation.
- Expertise in data modeling, ETL/ELT architecture, data pipelines, and data integration patterns.
- Strong proficiency in SQL and Python for data processing and automation.
- Experience designing secure, scalable, and high-performance data architectures.
- Experience within the insurance domain is preferred.
- Design and implement scalable enterprise data architectures using Snowflake and AWS.
- Develop architectures for data ingestion, transformation, integration, and consumption across enterprise systems.
- Design and optimize ETL/ELT pipelines using AWS Glue, Apache Airflow, dbt, and related technologies.
- Define data models, architecture standards, integration patterns, and technical best practices.
- Optimize Snowflake environments for performance, scalability, security, and cost efficiency.
- Collaborate with engineering, analytics, and business teams to translate data requirements into effective technical solutions.
- Provide technical leadership and guidance to data engineering teams throughout the implementation process.
- Ensure data solutions meet enterprise standards for security, governance, reliability, and performance.
More about this job
Responsibilities
Design and implement scalable enterprise data architectures using Snowflake and AWS cloud services. Develop and optimize ETL/ELT pipelines while providing technical leadership to data engineering teams.
Requirements
Requires 8+ years of experience in data architecture or engineering with strong expertise in Snowflake and AWS. Proficiency in SQL, Python, and data integration tools like dbt and Apache Airflow is essential.
Skills
- Snowflake
- AWS
- Data Architecture
- Data Engineering
- AWS Glue
- Apache Airflow
- Dbt
- SQL
- Python
- ETL/ELT
- Data Modeling
- Data Pipelines
- Cloud Computing
- Data Integration
- Data Governance
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- Snowflake
- AWS
- Data Architecture
- Data Engineering
- Cloud Solutions
- AWS Glue
- Apache Airflow
- Dbt
- ETL
- ELT
- Data Modeling
- Data Pipelines
- SQL
- Python
- Data Integration
- Data Governance
- Insurance Domain
- Enterprise Data Platform
- Scalability
- Automation