Snowflake Architect (RARR Job 6105)

Key Responsibilities

Architecture and Solution Design

• Work with business users, functional analysts, and stakeholders to understand requirements and translate them into technical solutions.
• Design scalable data architectures and data models on the Snowflake platform.
• Define technical architecture, integration patterns, and development standards.
• Review technical designs and guide the development team during implementation.
• Resolve technical issues, clarify requirements, and ensure solutions meet business needs.

Data Engineering and Platform Development

• Design and build data pipelines, ETL/ELT processes, and data integration solutions using Snowflake.
• Implement scalable and efficient data models to support analytics and reporting.
• Use Snowflake features such as Streams, Tasks, Time Travel, Data Sharing, and Zero Copy Cloning, Snowpipe, Security, performance optimization.
• Develop templates, frameworks, and scripts to automate common development tasks.
• Support modernization of existing data platforms to Snowflake.

Snowflake Cortex and AI Solutions

• Build solutions using Snowflake Cortex AI and LLM capabilities.
• Develop proof-of-concepts (POCs) using generative AI within Snowflake.
• Design and implement RAG pipelines, LLM-powered applications, and AI-enabled data solutions.

Client Engagement and Stakeholder Management

• Work closely with clients to understand their data challenges and recommend appropriate solutions.
• Lead technical discussions with business stakeholders and project teams.
• Collaborate with onsite teams, analysts, and cross-functional teams during project delivery.

Solution Development and Go-To-Market Support

• Build POCs, accelerators, and reusable solutions that can be used across client engagements.
• Support Go-To-Market initiatives by creating industry solutions and demo use cases.
• Work with sales and pre-sales teams to support client discussions and proposals.

Innovation and Knowledge Sharing

• Stay updated with the latest Snowflake features and industry trends.
• Contribute to internal knowledge sharing, technical blogs, and presentations & Mentor team members.

Qualifications

• Bachelor’s degree in Computer science, Information Technology or related field.
• 15+ years of experience in Data Warehousing and Analytics.
• 5+ years of hands-on experience with Snowflake.
• Strong experience in data architecture, data modelling, and data engineering.
• Experience designing and implementing cloud data platforms.
• Good understanding of Snowflake Features, Gen AI concepts and Snowflake Cortex AI.
• Experience building POCs and reusable data solutions.
• Strong communication and stakeholder management skills.
• Ability to work with clients, engineering teams, and sales teams.
• Strong problem-solving and analytical skills.
• Experience leading and mentoring technical teams is preferred.