Snowflake Data Architect

Qualifications

• Minimum 10 years of recent experience in data architecture, data engineering, or a similar field.

• Hands-on expertise with PostgreSQL and Snowflake administration and performance tuning. 

• Strong scripting and automation skills (Python, Ansible, etc.). 

• Familiar with Cloud Based Architectures /Data-Warehousing Platforms, prior experience / knowledge in Snowflake Design Patterns and migration workflow would be a plus.

• Prior exposure building ML and generative AI solutions using Snowflake Cortex Analyst, Search, AI SQL, Snowflake ML, and Snowpark Container Services.

• Proven record of architecting and delivering large-scale data warehouse modeling and reporting solutions for enterprise systems.

• A bachelor’s degree from an accredited college or university is required. A master''s degree in computer science, engineering, or a related technical discipline is preferred.

• Expertise in architecting cloud-native data ecosystems using platforms such as Snowflake, Databricks, Talend, SPARK, Power BI, and Microsoft Fabric.

• Deep knowledge of designing solutions that incorporate Retrieval-Augmented Generation (RAG) and vector search (e.g., Azure AI Search).

• In-depth understanding of architectural patterns for processing and modeling both structured transactional data and unstructured information.

• Experience with transactional processing and AI/ML applications.

• Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile Software Development Life Cycle (SDLC) environment.

• Exceptional problem-solving, communication, collaboration and leadership skills.

• Ability to articulate strategic technical vision, influence executive-level stakeholders, and guide solutions for complex business problems.