Solutions Architect

Senior Palantir Forward Deployed Engineer (Delta) We are seeking a Senior Palantir Forward Deployed Engineer (Delta) to serve as a technical leader at the intersection of Palantir Foundry capabilities and complex enterprise data and operational initiatives. This role combines deep expertise in Palantir Foundry with hands-on solution architecture, development, and deployment leadership. The ideal candidate is an experienced Palantir practitioner who can independently architect, build, and operationalize enterprise-grade solutions while partnering closely with business and technical stakeholders. This individual will act as a Palantir FDE, driving platform adoption and delivering high-impact solutions across inventory, operational, analytics, and data transformation use cases. Important: Candidates must have genuine, hands-on Palantir Foundry experience. Experience with adjacent data platforms is not a substitute. Contract Details: 2 openings 100% remote 12-month W2 contract (potential for extension) Must be able to work W2 Key Responsibilities Technical Leadership & Solution Architecture Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry Architect scalable data models and Ontology structures, including object types, link types, action types, interfaces, and functions Develop and optimize Python, SQL, and Java-based transforms across distributed and lightweight processing frameworks Build TypeScript and Python Functions to support business logic, automation, and application functionality Create and configure Workshop applications, OSDK-based applications, and custom user experiences Implement enterprise data governance, security controls, permissions models, and access management frameworks Design and deploy AI-powered workflows, including agent-based automation, retrieval-augmented generation (RAG), and LLM-driven solutions Forward Deployed Engineering Serve as the primary technical resource for business stakeholders and platform users Translate operational and business challenges into scalable technical solutions Own the full deployment lifecycle, including discovery, architecture, implementation, testing, deployment, and support Troubleshoot complex data environments and integrate with legacy systems Deliver production-grade solutions that drive measurable business outcomes Identify opportunities to expand platform capabilities and support new use cases Team Leadership & Mentorship Provide technical leadership, code reviews, and architectural guidance to engineering teams Establish engineering best practices around testing, CI/CD, version control, and deployment standards Mentor engineers and platform users on Foundry development patterns and platform capabilities Contribute to internal documentation, reusable frameworks, and solution accelerators Platform Innovation Stay current on evolving Palantir capabilities, including Pipeline Builder, Code Workspaces, Model Studio, OSDK, AI Platform (AIP), Cipher, and streaming technologies Develop machine learning and predictive analytics solutions using both no-code and pro-code approaches Leverage the complete Foundry lifecycle, including data ingestion, transformation, ontology development, applications, actions, and writeback processes Partner with stakeholders to continuously improve platform utilization and solution design Required Qualifications: 5+ years of experience in software engineering, data engineering, solutions architecture, or technical consulting Minimum 2+ years of hands-on Palantir Foundry experience (REQUIRED) Strong proficiency in Python, SQL, and modern data engineering practices Experience with PySpark, Pandas, Polars, or similar data processing frameworks Deep understanding of Foundry Ontology concepts, including object types, link types, action types, interfaces, and functions Proven experience designing and deploying enterprise-scale data pipelines Experience building Workshop applications and/or OSDK-based applications Strong stakeholder communication and requirements-gathering skills Ability to work independently in a fast-paced, forward-deployed environment Preferred Qualifications: Experience with Google Cloud Platform (GCP) Strong BigQuery experience, including optimization, data warehousing, and migration initiatives Experience with Palantir AIP, including AIP Logic, AIP Agents, and LLM-powered workflows Experience with machine learning workflows and predictive analytics solutions Knowledge of data governance, access controls, ABAC, and enterprise security frameworks Experience leading teams of engineers or technical delivery teams Background in healthcare, operations, supply chain, inventory management, or other complex enterprise environments Experience contributing to internal tooling, reusable frameworks, or platform best practices Technical Skills We're Looking For: Languages Python SQL TypeScript Java Data Engineering Palantir Foundry PySpark Pandas Polars DuckDB Pipeline Builder Incremental Pipelines Cloud & Data Platforms Google Cloud Platform (GCP) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions Foundry & Ontology Object Types Link Types Action Types Interfaces Functions OSDK Application Development Workshop OSDK Applications React TypeScript Custom Widgets AI & Machine Learning AIP Logic AIP Agents Model Studio LLM Functions Evaluation Suites Predictive Modeling Governance & Security Permissions Markings Restricted Views Cipher Attribute-Based Access Control (ABAC) Enterprise Data Governance