Snowflake SnowPro Advanced Data Engineer
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Job description
Engage with clients to understand business needs, objectives, technical requirements, and opportunities for AI-driven transformation. Conduct workshops to identify high-value AI use cases and assess their technical feasibility. Collaborate with internal teams and stakeholders to develop tailored AI strategies and solution approaches. Design, build, and deploy intelligent agents using Snowflake Cortex Agents, Cortex Analyst, including semantic views, and Cortex Search. Design and implement Agentic Process Automation patterns to streamline and enhance business operations. Utilize Snowflake and its native components to develop sophisticated AI-driven systems tailored to client-specific use cases. Create detailed architectural designs and technical blueprints that integrate AI solutions with existing enterprise infrastructures. Ensure AI solutions are scalable, reliable, secure, and aligned with business objectives. Develop prototypes and proof-of-concept solutions to validate AI concepts and technical approaches. Lead and deliver pilot projects that demonstrate AI capabilities and measurable business value. Gather client feedback and incorporate findings to improve solution usability, effectiveness, and adoption. Provide technical leadership, guidance, and mentorship to internal teams and clients throughout the AI solution lifecycle. Guide implementation teams in applying AI development best practices, established architectural patterns, and technical standards. Conduct rigorous testing and validation of AI solutions to ensure accuracy, reliability, and performance. Perform usability evaluations and make adjustments based on client feedback. Continuously monitor and optimize deployed AI systems for performance, scalability, and operational effectiveness. Address and resolve technical challenges throughout solution development and deployment. Manage project timelines, resources, deliverables, and cross-functional coordination to ensure successful execution. Communicate project status, technical considerations, risks, and outcomes effectively to clients and internal stakeholders. Document architectural designs, project plans, technical specifications, decisions, and project outcomes. Prepare and present technical reports, solution designs, and presentations to clients and stakeholders. Drive AI-enabled digital transformation initiatives that deliver measurable value to clients. Contribute to the development of AI best practices, methodologies, frameworks, and reusable solution patterns. Stay current with advancements in artificial intelligence, machine learning, data analytics, Agentic AI, and related technologies. Represent the organization at industry events, conferences, and forums to demonstrate AI expertise., Snowflake SnowPro Advanced Data Engineer SnowPro Advanced Architect Artificial Intelligence Machine Learning Data Analytics Cloud Computing
Skills Snowflake Platform Snowflake Cortex Agents Snowflake Cortex Analyst Snowflake Cortex Search Microsoft Azure Services Microsoft Power Platform Microsoft 365 Services AI Model Development Artificial Intelligence Machine Learning Data Analytics Scalable AI Solution Design System Integration Matillion Microsoft Power BI
Requirements
5+ years of experience, Bachelor’s Degree Master’s Degree, Google Cloud AI Services Automation Technologies Client Engagement Technical Feasibility Assessment AI Strategy Development Solution Architecture Prototype Development Pilot Project Leadership Technical Leadership Project Management Stakeholder Communication Technical Documentation Digital Transformation Initiatives Agile Development Methodologies Change Management Analytical Problem Solving Cross-functional Collaboration
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