Senior Developer

The Data Warehouse & Analytics team is seeking a highly skilled and motivated Senior Developer who can bridge business intelligence, data engineering, and modern AI-driven analytics. This role requires strong stakeholder management, the ability to work independently across the full analytics stack, and a working knowledge of emerging AI tools and techniques. The ideal candidate will contribute to scalable data solutions, intelligent automation, and high-impact dashboards serving mission-critical financial data platforms at ICE., * Work with and analyze petabyte-scale financial data efficiently across multiple sources, transforming findings into clear, actionable business insights.

• Design, develop, and publish Tableau and/or Sigma Computing dashboards, reports, and visualizations for business stakeholders.
• Develop generative AI-powered chatbot solutions leveraging Snowflake Cortex platform
• Assist in automating data processing and reporting tasks using generative AI tools and custom solutions
• Adopt and apply evolving AI methodologies, including AI-enhanced BI (Snowflake Cortex), LLM APIs, and AI-assisted development tools to accelerate delivery and unlock intelligent analytics capabilities.

Data Warehousing, Automation, Business Intelligence, Reporting Dashboards, Bridge Building, Artificial Intelligence (AI), Data Analysis, Analysis Skills, Tableau, Conversation Engine, * Bachelor’’s or Master’’s degree in Data Science, Statistics, Engineering, Mathematics, Computer Science, or a related quantitative discipline.

• 5+ years of overall experience in BI development, data analytics, or data engineering with a proven track record of delivering high-quality, data-driven solutions.
• 5+ years of experience developing complex SQL queries and leveraging SQL within BI tools.
• 5+ years of experience with Tableau Desktop/Online and/or Sigma Computing, including building intuitive, feature-rich dashboards.
• 3+ years of Python proficiency, including data analysis libraries (pandas, NumPy, matplotlib, scikit-learn).
• Hands-on experience with Snowflake or equivalent cloud data warehousing platforms.
• Practical experience or strong working knowledge of LLM APIs, prompt engineering, and integrating generative AI capabilities into data or analytics workflows.
• Demonstrated familiarity with AI-assisted development tools used in day-to-day development workflows.
• Excellent communication and stakeholder management skills with the ability to operate independently in a lean, fast-paced environment.

Preferred Knowledge and Experience

• Experience building agentic AI workflows using LLM APIs (tool use, multi-step reasoning, automated triage).
• Familiarity with AI orchestration frameworks such as LangChain, or Anthropic’’s Agent SDK.
• Knowledge of vector databases or semantic search for analytics use cases.
• Experience with Snowflake Cortex AI features and AI-enhanced BI capabilities.
• Experience with cloud platforms (AWS, Azure, GCP) and related data services.