AYN

Principal Architect - R01571497

Brillio · Austin, Texas, United States · hybrid

Principal Architect

Primary Skills:

- 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

Specialization:

- Snowflake Engineering: Principal Data Architect

Job requirements:

- 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.

- Expertise in Snowflake architecture and engineering

- Advanced proficiency in SQL

- Strong experience with Python for data processing and automation

- Deep understanding of ETL pipeline development

- Hands-on experience with Snowflake Streams for real-time data ingestion

- Proficiency in Time Travel and Fail Safe features within Snowflake

- Implementation and management of Snowpipe for automated data loading

- Skilled in SnowSQL for scripting and data management

- Experience in Snowflake-specific data modeling and warehouse design

- Expertise in developing and managing Snowflake stored procedures

- 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

- 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)

Apply on the employer’s site