Snowflake Architect

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and Orogen Group, and growing rapidly since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility.

Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 5500 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients.

Brillio was awarded ‘Great Place To Work consistently. Learn more

Role:
Snowflake Engineering:
Principal Data Architect

Location:

Remote

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

• 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 Snow Pro Advanced Architect certification or equivalent
• Certification in data…