An anonymization developer designs and implements software solutions to protect sensitive data, ensuring that individuals' identities remain concealed within datasets. They manage data privacy by replacing or obfuscating personally identifiable information with pseudonyms or synthetic data, a process known as 'anonymization'. Their work involves understanding privacy laws and data protection regulations. They often use various techniques like data masking, tokenization, and encryption. In addition, they work closely with data teams to ensure data usability for analysis while maintaining privacy. They continuously evaluate and improve anonymization algorithms to ensure the highest level of data security.