Summary:

In this role, you will serve as a senior technical leader and hands-on architect for a strategic data product being reimagined and rebuilt on Palantir Foundry and AIP. You will lead the design and development of the product’s enterprise ontology, integrating EHR and ERP data into a governed semantic model that represents key clinical, operational, financial, and administrative business concepts. You will define the foundational ontology, analytics engineering framework, and technical architecture while influencing the long-term technical roadmap for the platform. You will partner closely with product, analytics, operations, data governance, security, and engineering teams to deliver trusted reporting, reusable analytics, AI-enabled workflows, and future product capabilities. As a Staff Engineer, you will establish architectural standards, drive technical excellence, mentor engineers, and make durable design decisions while remaining deeply engaged in complex data and platform engineering initiatives.

Responsibilities:

• Lead the architecture, design, and implementation of a Palantir Foundry-based data product, with primary ownership of the enterprise ontology, curated data assets, and analytics engineering framework.
• Define and evolve the enterprise ontology using EHR, ERP, and related enterprise data sources, translating complex healthcare workflows into reusable object types, relationships, semantic models, and governed business concepts.
• Model and maintain core clinical, operational, financial, and administrative entities and relationships to support scalable analytics, reporting, operational workflows, and AI-enabled use cases.
• Establish and govern architecture standards, ontology design patterns, data contracts, engineering practices, and semantic modeling frameworks that promote consistency, scalability, maintainability, and reuse across the platform.
• Design, implement, and optimize scalable PySpark transformations, data pipelines, derived metrics, KPIs, and analytical datasets that support enterprise reporting and product capabilities.
• Drive data quality, governance, security, privacy, lineage, and auditability practices to ensure trusted and compliant use of healthcare data.
• Lead architectural decision-making and define technical strategies for platform scalability, reliability, performance, observability, and long-term maintainability.
• Collaborate with product, analytics, operations, data governance, and engineering teams to translate business requirements into durable technical solutions and prioritize platform investments.
• Evaluate emerging technologies, platform capabilities, and industry trends to identify opportunities that improve engineering productivity, solution quality, analytics capabilities, and future product innovation.
• Mentor engineers and analytics professionals while championing modern engineering practices, including AI-assisted development and agentic engineering approaches, to elevate technical excellence across teams.

Qualifications:

• Relevant degree preferred.
• 7 or more years of relevant experience required.
• Strong technical expertise in data engineering, analytics engineering, software engineering, data architecture, or platform engineering, including designing and delivering large-scale distributed data platforms required.
• Strong understanding of agentic coding, AI-assisted development, and emerging AI technologies within modern software engineering and analytics workflows required.
• Experience with PySpark, Spark, Python, SQL, distributed data processing, and development of production-grade data products, analytical datasets, and reusable transformation frameworks required.
• Strong understanding of data modeling and semantic architecture concepts, including entity relationship modeling, dimensional modeling, ontology development, domain-driven design, and enterprise data modeling required.
• Experience implementing modern engineering practices including CI/CD, automated testing, code reviews, version control, monitoring, documentation, and release management required.
• Experience designing scalable, secure, reliable, and governed data platforms, including data quality frameworks, lineage, observability, access controls, privacy, and regulatory compliance requirements.
• Proven ability to lead architectural decision-making, establish engineering standards, communicate technical tradeoffs, and influence technical direction across multiple teams and stakeholders.
• Ability to translate complex healthcare, operational, financial, and business workflows into durable technical models that support reporting, analytics, AI-enabled workflows, and future product capabilities.
• Strong written and verbal communication skills with the ability to effectively communicate complex technical concepts to technical and non-technical audiences.
• Experience mentoring engineers and fostering a culture of technical excellence, innovation, and continuous improvement.
• Hands-on experience with Palantir Foundry, including ontology development, datasets, transforms, Code Repositories, object types, link types, functions, actions, security, and application enablement highly preferred.
• Experience with healthcare data domains and platforms, including EHR, ERP, FHIR, HL7, Epic, Oracle Health, claims, provider, financial, operational, and clinical data preferred.
• Experience designing enterprise semantic layers, governed metric frameworks, certified datasets, enterprise reporting foundations, or large-scale ontology implementations preferred.