Staff Engineer

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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.

Estimated Hiring Range:

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individualswith Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.