Principal Architect - R01571497.

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)