Teams at Lantern

Design, build, and optimize scalable AWS-native data platforms and ETL/ELT pipelines. Tune Redshift and Athena for multi-terabyte datasets, develop production Python pipelines with testing and observability, deploy workloads with containers, apply data modeling and quality practices, collaborate with stakeholders, and mentor engineers to set standards and improve performance and cost efficiency.

Lead clients in designing and deploying Microsoft Azure AI solutions. Oversee multiple projects, engage in client discussions, and support sales efforts.

The Azure AI Applications Engineer will lead the development and implementation of intelligent applications using Azure AI services, while architecting solutions, mentoring junior engineers, and collaborating on project delivery across multiple sectors.