As the Sr Data Engineer at Insite AI, you will be responsible for leading the architectural design, development, and deployment of scalable data management systems in a high-performance, customer-driven environment. Insite AI's AI-based platform enables autonomous decision-making that creates a connected assortment strategy, category and pricing execution and trade promotion environment. Insite AI's team comes from leading CPGs and brings their experiences to build a fully customizable AI-based platform that gives CPGs and Consumer Brands the most “explain-ability”, foresight, and granularity that results in an unprecedented quality of decision-making. If you are passionate about leveraging the power of AI to help clients reach their full potential, this is the opportunity for you!

Responsibilities

Build and maintain data integration, ETL pipelines, and data warehouse architectures on cloud platforms like AWS, Azure, and GCP
Work with cross-functional teams comprising Data Scientists, Product Managers, and Software Engineers to design, build, and deploy robust and scalable data pipelines that power real-time decision-making
Provide technical mentorship and leadership to a team of data engineers, and drive innovation and best practices in the engineering organization
Work closely with the customer success team to troubleshoot and resolve issues related to data quality, ingestion, and integration

8+ years of experience in designing, building, and deploying large-scale data management systems in the cloud
Strong proficiency in programming languages such as Python & Java
Experience with cloud computing platforms such as AWS, Azure, and/or GCP
Experience with data warehousing and ETL technologies such as Databricks, Snowflake, and Airflow
Strong technical leadership skills and ability to mentor and guide team members
Excellent communication skills and ability to work collaboratively in a cross-functional team environment.