“The first pivot was moving to become an agile organization, getting into the hyperscaler model, pivoting our services toward that, and unifying our data strategies to get ready for the next wave of transformation,” Moisant says.
Overhauling the company’s data architecture was a top priority. First, Indeed moved data lakes from its on-premises environment to AWS. The company’s data was stored in Snowflake, Tableau, and various Elastic MapReduce (EMS)-based technologies, all of which Moisant and team moved to a unified data lake and lake house on AWS. Doing so established a shared data architecture that could scale and be more flexible, not just for analytics use cases but also operational use cases, the CIO says.
With an eye toward the AI future, Moisant wanted an open data architecture that would enable observability, governance, data classification, and quality control. He and his team opted to build Indeed’s data lake house on Apache Iceberg.