About the job
Join us at the forefront of technology, where we are revolutionizing the data storage landscape. Lead with creativity, evolve with us, and become part of the brightest minds in the industry.
Our mission is rooted in work that transforms the world, staying true to the values that founded the tech industry. If you're eager to embrace limitless possibilities and leave your mark, we invite you to join our team.
THE ROLE
As a Data / AI Engineer, you will design a high-performance data ecosystem that converts raw data into actionable intelligence and advanced AI solutions. Collaborating with Data Scientists and Product Managers, you will establish the infrastructure necessary to scale our AI capabilities, setting the stage for the future of automated customer support and operational excellence.
WHAT YOU'LL DO
- Architect Scalable Data Infrastructure: Design, deploy, and enhance ETL pipelines and data models that generate high-quality, AI-ready datasets for global business insights.
- Drive AI Evolution: Spearhead the technical development of AI-driven workflows, integrating innovative LLM frameworks to automate intricate business operations and improve decision-making.
- Ensure Data Excellence and Integrity: Oversee the complete data management lifecycle, implementing strong governance, security, and monitoring to uphold a "single source of truth" for key stakeholders.
- Collaborate and Solve Across Functions: Work alongside cross-functional teams to translate business needs into technical specifications, serving as the vital link that transforms raw data into meaningful organizational impact.
- Operational Reliability: Manage on-call support during business hours to guarantee smooth operation of ingestion systems, ensuring high availability for our global data users.
WHAT YOU BRING
- Advanced Engineering Proficiency: Extensive technical knowledge in SQL, Python, and data modeling, with a successful history of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.
- Modern Data Stack Expertise: Practical experience in managing relational and NoSQL databases (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud environments.
- Growth Mindset & AI Curiosity: A strong desire to learn and innovate in the field of AI.

