To support the optimization of data architecture, the full-time Data Platform Engineer will build and maintain scalable data pipelines, implement enterprise search capabilities, and ensure data security within a remote work environment. Key responsibilities Build and maintain scalable data ingestion pipelines for structured and unstructured data within the Data Foundry project Optimize search-centric data pipelines to enhance enterprise search functionality and performance Implement data security measures, including Row-Level Security and compliance with governance policies Required qualifications 3-5 years of professional software or data engineering experience in an enterprise cloud environment (GCP preferred) Advanced SQL skills and proficiency in programming languages such as Python, PySpark, or Scala Experience with data access controls, encryption, and managing secure API endpoints Hands-on experience with Google BigQuery, Astronomer/Airflow, and data governance tools like Google Dataplex Proven ability to collaborate cross-functionally with technical teams in AI, Infrastructure, and Security