Data & Automation Data Specialist

About This Role

Driving growth for clients and partners by implementing and maintaining specific data ecosystems using Snowflake/PostgreSQL is the main purpose of this role. The specialist will also build hybrid agentic-deterministic workflows on low-code platforms to optimize efficiency within the Customer Experience and Automation Team.

Responsibilities

• Implement and update data structures on Snowflake following established architectural guidelines, ensuring quality and performance of assigned datasets
• Build and maintain datasets to allow automation of business processes using low-code/no-code platforms like Appian, n8n, Salesforce, and similar tools to integrate reservation systems, CRM, marketing, and customer service platforms
• Develop connections using the Model Context Protocol (MCP) to integrate LLMs with external data sources as defined in technical specifications
• Deploy and integrate generative AI models to personalize traveler experiences, automate content creation, manage chatbots, and support predictive analytics for demand and customer behavior
• Collaborate with the Lead and stakeholders to translate business requirements into functional automation workflows and dashboards
• Monitor AI and automation workflows, iterating for improved performance, reliability, and business impact
• Build data queries for visualizations to analyze business processes and monitor change impact

Requirements

• Effective written and verbal communication skills for collaborating with team members and stakeholders
• Strong practical skills in SQL and Python for complex data manipulation, scripting, and automation
• Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to diverse audiences
• A strong team-player mindset with a proven ability to collaborate effectively across multidisciplinary teams and foster positive working relationships
• Demonstrated lateral thinking and creativity in solving complex problems and designing innovative automation and AI solutions
• Deep understanding and applied knowledge of the Model Context Protocol (MCP) or similar open standards for integrating LLMs with external systems
• Knowledge of data privacy regulations (e.g., GDPR) and a commitment to ethical AI practices
• Familiarity with major cloud ecosystems (AWS, Azure, Google Cloud) and BI/data visualization tools (e.g., Tableau, Power BI)
• Proven hands-on experience designing and managing scalable data solutions in Snowflake or PostgreSQL
• Demonstrated experience building, deploying, and maintaining enterprise-grade workflows on low-code/no-code platforms such as Salesforce, Appian, and/or n8n
• Practical experience developing and consuming REST APIs for complex system integrations in a professional environment