Snowflake Developer

Tier4Group; Atlanta (GA); Hybrid; USD 96,000 - 152,000; Part time

Job summary

Tier4 Group is seeking a Snowflake AI Developer to design and build customer-facing AI-powered applications, dashboards, and data solutions. The role blends data platform expertise with front-end development in Streamlit, delivering intuitive experiences for end users.

You will collaborate with Sales, Marketing, Customer Success, and Product teams to gather requirements and translate them into scalable AI-driven solutions, leveraging Snowflake or Databricks as the backend data platform.

Qualifications

• Experience developing Streamlit apps and dashboards.
• Hands-on Snowflake experience or Databricks as an alternative.
• Experience with backend APIs, data integrations, and AI development tools.

Responsibilities

• Design, develop, and deploy customer-facing apps and dashboards using Streamlit and Snowflake.
• Build AI-powered user experiences and workflows with modern AI tools.
• Collaborate with Sales, Marketing, Customer Success, and Product to gather requirements and deliver solutions.
• Develop interactive dashboards and apps leveraging Snowflake as the backend platform.
• Integrate AI models, automation, and data services into customer-facing apps.
• Work with engineering on backend architecture, APIs, and data pipelines.
• Utilize AI-assisted development tools to speed delivery and quality.
• Create scalable, maintainable, user-friendly solutions aligned with business goals.

Skills

Streamlit

AI dashboards

Snowflake

Databricks

APIs

Data integration

AI development tools

Stakeholder communication

Customer-facing collaboration

Tools

Snowflake

Databricks

Streamlit

APIs

Job description

Snowflake AI Developer
Contract Length: 6 months, with potential for extension
Location: Hybrid in Dunwoody (1-3 days/week onsite)
Start Date: ASAP

Position Overview

We are seeking a customer-facing Snowflake AI Developer to design and build AI-powered applications, dashboards, and data solutions that deliver value directly to end users. This role combines modern data platform expertise with front-end application development, requiring someone who can build intuitive user experiences in Streamlit while leveraging AI-assisted development tools and technologies.

The ideal candidate has hands-on experience creating multiple Streamlit applications, understands backend development concepts, and can effectively collaborate with stakeholders across Sales, Marketing, Customer Success, and technical teams to translate business needs into scalable AI-driven solutions.

Key Responsibilities

• Design, develop, and deploy customer-facing applications and dashboards using Streamlit and Snowflake.
• Build AI-powered user experiences and workflows using modern AI development tools and frameworks.
• Partner with stakeholders across Sales, Marketing, Customer Success, and Product teams to gather requirements and deliver impactful solutions.
• Develop interactive dashboards and applications that leverage Snowflake as a modern application and analytics platform.
• Integrate AI models, automation, and data services into customer-facing applications.
• Collaborate with engineering teams on backend architecture, APIs, and data pipelines.
• Utilize AI-assisted development tools to accelerate delivery and improve development efficiency.
• Create scalable, maintainable, and user-friendly solutions that support business objectives and customer needs.

Required Qualifications

• Experience developing and deploying applications using Streamlit.
• Strong experience building AI-powered solutions, applications, or dashboards.
• Hands-on experience with Snowflake and its application development capabilities. Alternatively, Databricks experience is acceptable.
• Working knowledge of backend development concepts, APIs, and data integrations.
• Experience using AI development tools such as Cursor, Kiro, Claude, Coco, QuadCode, or similar platforms.
• Excellent communication and stakeholder management skills.
• Ability to gather business requirements and translate them into technical solutions.
• Experience working directly with business users and customer-facing teams.

Preferred Qualifications

• Experience supporting or partnering with Sales, Marketing, or Customer Success organizations.
• Experience building customer-facing SaaS products or applications.
• Familiarity with modern generative AI, LLM, and machine learning technologies.
• Experience developing dashboards, analytics applications, or self-service data products.

Ideal Candidate Profile

The ideal candidate is a builder who has created numerous Streamlit based applications and is passionate about leveraging AI to solve business problems. They are comfortable working directly with stakeholders, can navigate both technical and business discussions, and understand how modern data platforms like Snowflake, or comparable technologies like Databricks, are evolving into full application development environments. They bring a customer first mindset and enjoy creating solutions that are both technically robust and highly usable.