# Principal Architect - R01571497 at Brillio

Principal Architect - R01571497 at Brillio in Austin, Texas, United States. Hybrid. Posted September 22, 2026.

- Company: Brillio
- Location: Austin, Texas, United States
- Workplace: Hybrid
- Experience: 15+ years
- Posted: 2026-09-22
- Apply: https://jobs.lever.co/brillio-2/b0536280-cc7f-47db-9105-7790a08d738b/apply
- Source: https://jobmagic.ai/jobs/principal-architect-r01571497-brillio-2a2spt

## 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

## Description

**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

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

** 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, 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.

**Required Skills**:

- 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

** 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)