What are the responsibilities and job description for the Palantir Foundry Architect position at Wise Skulls?
Hiring: Palantir Foundry Architect
Location: Any Infosys Hub Location (Hybrid)
Duration: 6 Months (Possible Extension)
We are seeking an experienced Palantir Foundry Architect to lead enterprise-scale data transformation initiatives leveraging Palantir Foundry, Spark, Data Engineering, Ontology Modeling, and Foundry AIP capabilities.
Key Responsibilities:
- Design and implement scalable data solutions using Palantir Foundry and Apache Spark
- Configure Source Sync, Foundry Agents, data quality controls, schema expectations, and health checks
- Build and optimize batch and real-time data pipelines using Pipeline Builder
- Develop reusable utilities, automation frameworks, and PyTest-based testing solutions
- Architect data governance, RBAC models, metadata management, and sensitive data controls
- Design ontology models, digital twins, semantic search, and AI-powered solutions
- Build operational applications and business workflow solutions using Foundry AIP components
- Enable outbound integrations through APIs, object storage exports, and reporting platforms
- Drive cost optimization strategies and platform efficiency improvements
- Provide technical leadership, architecture guidance, PoC development, and stakeholder presentations
Required Skills:
- Palantir Foundry Architecture & Development
- Apache Spark (Advanced Data Engineering)
- Real-Time & Batch Data Processing
- Foundry Pipeline Builder
- Foundry SDK Customizations
- Data Governance & Data Quality Frameworks
- Ontology Modeling & Digital Twin Implementation
- REST API Integrations
- Python & PyTest Automation
- Performance Engineering & Solution Architecture
If you have strong experience architecting enterprise solutions on Palantir Foundry and are passionate about building next-generation data and AI platforms, we'd love to connect.
π© Interested candidates can share their updated resume @jagrut@wiseskulls.com and contact details for immediate consideration.
Salary : $80 - $85