At a Glance
- Tasks: Design and implement scalable data architectures using Snowflake and AWS.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and lead exciting data projects.
- Why this job: Make an impact by shaping enterprise data solutions in a dynamic environment.
- Qualifications: 8+ years in Data Architecture with expertise in Snowflake and AWS.
The predicted salary is between 123750 - 151250 $ per year.
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.
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.
Responsibilities
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.
#J-18808-Ljbffr
AWS Snowflake Architect – Hybrid in Markham employer: HR POD Careers
Join a forward-thinking company in Markham that values innovation and collaboration, offering a hybrid work environment that promotes work-life balance. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in data architecture. Our inclusive culture fosters teamwork and creativity, making it an ideal place for professionals looking to make a meaningful impact in the insurance domain.
