Tech Lead Data & Analytics (Snowflake)

TL;DR

Tech Lead Data & Analytics (Snowflake): Leading a feature team to deliver high-quality data products and analytics solutions with an accent on Snowflake architecture, performance optimization, and FinOps. Focus on coaching data engineers, industrializing AI/analytics pipelines, and ensuring robust DevOps practices within a large-scale hospitality ecosystem.

Location: Must be based in France (Hybrid: remote work available several days per week).

Company

hirify.global is a global leader in hospitality, managing a vast network of hotels and digital services across 110 countries, committed to delivering innovative tech experiences for guests and staff.

What you will do

• Co-lead a feature team alongside a Product Owner to deliver high-impact data products.
• Manage and coach a team of internal and external Data Engineers.
• Define technical and modeling standards, including Snowflake urbanization and data quality patterns.
• Industrialize analytics and AI data products while optimizing performance and infrastructure costs.
• Ensure the implementation of best development practices, including CI/CD and DevOps.
• Integrate diverse data sources into the internal DataHub solution.

Requirements

• Minimum 5 years of experience in data engineering and previous managerial experience.
• Fluent in English (working language).
• Strong technical expertise in Snowflake and modern data platforms.
• Proficiency in SQL and Python.
• Solid understanding of dbt, data modeling techniques, and Agile/DevOps culture.
• Experience in data science and analytics product development.

Nice to have

• Experience with Tableau or similar analytics tools.
• Knowledge of FinOps culture.
• Background in e-commerce (SEO/SEA).

Culture & Benefits

• Flexible work environment with options to work from home, offices, or hotels.
• Dedicated deep work time every Wednesday afternoon.
• Comprehensive health insurance plan funded at 50% by the company.
• Access to the ALL - Heartist® Program for stays and experiences worldwide.
• Sustainable mobility package and support for eco-friendly transportation.
• Continuous learning opportunities, including hackathons and a dedicated training platform.

Hiring process

• Initial meeting with the recruitment team.
• Interview with the team manager.
• Potential assessment (use case and motivation questionnaire).
• Final interview with HR to discuss culture and benefits.