Architect

We are looking for an experienced Snowflake Architect to design and build modern cloud data platforms using Snowflake. The role involves working closely with business teams, architects, engineers, and client stakeholders to understand requirements and build scalable data solutions.

The candidate should have strong experience in Snowflake architecture, data engineering, data modelling, Snowflake Intelligence, Snowflake Cortex AI, Document AI. The role also requires working with sales and leadership teams to develop POCs, reusable solutions, and go-to-market offerings.

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.