Data/Snowflake Architect (Snowflake, Databricks, Talend, SPARK, Power BI, Microsoft Fabric)
Why This Role Stands Out
Leverage your extensive experience in data architecture and cloud platforms like Snowflake and Databricks to drive innovative solutions in a hybrid environment. This role is ideal for a seasoned professional passionate about building cutting-edge AI and data warehousing solutions who thrives on technical challenges and influencing strategic direction. You will have the opportunity to shape the future of data at a reputable company and grow your expertise in a collaborative setting.
Quick Overview
Job Description
• 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.
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