Snowflake Solutions Architect

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EngineeringSoftware Architect

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Quick Summary

Key Responsibilities

Design and implement scalable and efficient data architectures using Snowflake. Design modern data platforms leveraging Snowflake and a range of modern tools such as dbt, Fivetran, Coalesce.

Requirements Summary

Have a deep understanding of Snowflake’s architecture, including virt

Technical Tools

EngineeringSoftware Architect

Responsibilities

~1 min read

→Design and implement scalable and efficient data architectures using Snowflake.
→Design modern data platforms leveraging Snowflake and a range of modern tools such as dbt, Fivetran, Coalesce.
→Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
→Provide technical leadership and guidance to development teams on Snowflake best practices.
→Partner with senior technical and business leaders to build relationship and gather and define requirements, including providing presales support, and solutioning projects
→Work with Data Architects and Modellers to advise on relevant, effective and efficient solutions

Have a deep understanding of Snowflake’s architecture, including virtual warehouses, micro-partitioning, query optimization, resource optimization, usage monitoring, caching, clustering strategies and integration with observability tools (e.g., Splunk, Datadog)
Strong experience in designing and implementing data models (star, snowflake schema) and data warehouse best practices tailored for Snowflake
Hands-on experience with AWS, Azure, or GCP, and integrating Snowflake with cloud storage, ETL tools (dbt, Fivetran, Matillion, Airflow), APIs, and real-time data pipelines.
Knowledge of Snowflake’s security features like role-based access control (RBAC), data masking, encryption, row access policies, and compliance with regulatory frameworks (GDPR, HIPAA, SOC2)
Proficiency in Terraform, CI/CD pipelines, scripting (Python, SQL, Shell) to automate deployments, environment setup, & monitoring and experience with Snowpark (Python, Java, Scala) for data engineering, ML model deployment, and UDF development
Understanding of Cortex’s AI/ML capabilities, including built-in LLMs, vector search, to leverage these for business use cases
Good communication skills and ability to learn quickly.

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