20d ago

Principal Architect - R01571497

United States·AustinEmployeelead

ArchitectConstruction & Real Estate

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Quick Summary

Key Responsibilities

Design and architect scalable, secure, and high-performance Snowflake data solutions to drive enterprise data initiatives. Develop and implement robust ETL pipelines using Snowflake Streams, Python,

Requirements Summary

Expertise in Snowflake architecture and engineering Advanced proficiency in SQL Strong experience with Python for data processing and automation

Technical Tools

ArchitectConstruction & Real Estate

Principal Architect

DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Snowflake Engineering: Principal Data Architect

15 to 18 years of experience in data architecture and engineering, including extensive expertise in Snowflake and modern data platforms

Responsibilities

~1 min read

→Design and architect scalable, secure, and high-performance Snowflake data solutions to drive enterprise data initiatives.

→Develop and implement robust ETL pipelines using Snowflake Streams, Python, and SQL to enable efficient data ingestion and transformation.

→Optimize Snowflake environments for performance, cost, and reliability by leveraging features such as Time Travel, Fail Safe, and Snowpipe.

→Lead the modeling and structuring of complex Snowflake data warehouses, ensuring data integrity, accessibility, and scalability.

→Configure and manage SnowSQL, stored procedures, and advanced SQL scripts to automate data processing and analytics workflows.

→Collaborate with cross-functional teams to define data platform requirements and deliver modern data solutions aligned with business objectives.

→Troubleshoot and resolve architectural and operational issues within Snowflake and related data platforms, ensuring minimal downtime.

→Mentor and guide junior architects and engineers on best practices in Snowflake engineering and data platform fundamentals.

Preferred Skills:

Experience integrating Snowflake with cloud platforms such as AWS or Azure

Expertise in advanced data security and governance practices

Knowledge of performance tuning and optimization for large-scale Snowflake workloads

Familiarity with emerging data engineering technologies and frameworks

Experience with orchestration tools for automating data pipelines (e.g., Apache Airflow, dbt)

Hands-on experience with real-time analytics and streaming data solutions

Desired Qualifications:

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline

Snowflake SnowPro Advanced Architect certification or equivalent

Certification in data warehousing or cloud data platform architecture (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate)