Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), Automation, Best Practices, Big Data, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Management, Ecosystems, Finance, GCP (Good Clinical Practices), Healthcare, Leadership, Manufacturing, Microsoft Windows Azure, Ontology, Operational Audit, Problem Solving Skills, Snowflake Schema, Software Engineering, Workflow Analysis
Mandatory Skills: Architect with experience on Palantir
Palantir Foundry Architect to design, implement, and optimize data-driven solutions using Palantir Foundry. The role involves data engineering, pipeline development, ontology modeling, and cloud integration to enable scalable analytics and operational workflows.
Key Responsibilities:
Architect and develop data pipelines, ontologies, and applications in Palantir Foundry.
Optimize Spark-based workloads and ensure performance, security, and governance.
Integrate Foundry with AWS, Azure, GCP, and enterprise data ecosystems.
Collaborate with business teams, engineers, and leadership to drive data solutions.
Implement CI/CD, automation, and best practices for Foundry deployments.
Required Skills:
8+ years in Data Engineering, Cloud, and Big Data; 3+ years in Palantir Foundry.
Expertise in Python, SQL, Spark, ETL, and data modeling.
Strong knowledge of Foundry's Code Workbook, Ontology, and Application Builder.
Experience with Kubernetes, DevOps, and cloud services (AWS/Azure/GCP).
Excellent problem-solving and stakeholder management skills.
Preferred:
Palantir Foundry Certification (if available)
Experience in ML/AI workflows and big data tools like Snowflake, Kafka
Industry experience in Healthcare, Finance, or Manufacturing