Join Capgemini Invent as an inventive transformation consultant and drive cutting-edge solutions for our clients. We blend strategic, creative, and scientific capabilities, informed by data and supercharged by creativity, to deliver technology created with purpose. Embrace a role where you'll collaborate closely with business leaders to translate information requirements into data-centric solutions, design modern enterprise data platforms, and architect robust data governance strategies.

Design and maintain optimal data pipeline architecture within Palantir Foundry, identifying and implementing process improvements. Manage Palantir scheduling jobs, monitor data pipeline health, and configure alerts. Develop and implement enterprise information strategy solutions, translating business needs into data-driven outcomes. Responsible for the architecture and solution design of Cloud Data Analytics Platforms, Data Engineering, and Reporting, leveraging technologies like Palantir, Azure, AWS, Snowflake, or GCP.

Requires extensive experience in DevOps, Infrastructure as Code, DataOps, and MLOps. Proficiency in data warehousing, modeling, and integration for enterprise environments is essential. Strong command over ETL tools like Talend and expertise in SQL, PL/SQL, and query tuning for relational databases (PostgreSQL, Oracle, SQL Server, MySQL) and NoSQL databases (MongoDB) is critical. Experience with programming languages such as Python, Pyspark, JavaScript, Java, or Scala is necessary. A good understanding of Foundry Tools including Ontology, Contour, Object-explorer, Ontology-Manager, Object-editor, Code workbook, and Foundry ML is expected.