4 months ago
Edina, MN, USAStaff+
Base Salary
$118k - $206k/yr
Responsibilities
- Lead the architecture, design, and implementation of a Palantir Foundry-based data product, owning its enterprise ontology, curated data assets, and analytics engineering framework.
- Define ontology models and semantic relationships for clinical, operational, financial, and administrative healthcare concepts using EHR, ERP, and related enterprise data.
- Design and optimize PySpark transformations, data pipelines, derived metrics, KPIs, and analytical datasets for reporting and product capabilities.
- Establish architecture standards, data contracts, ontology patterns, engineering practices, semantic modeling frameworks, and governed metric foundations.
- Drive data quality, governance, security, privacy, lineage, auditability, scalability, reliability, performance, and observability practices.
- Lead architectural decisions, technical strategy, platform investment prioritization, and evaluation of emerging technologies and platform capabilities.
- Collaborate with product, analytics, operations, data governance, security, and engineering teams to translate business requirements into durable technical solutions.
- Mentor engineers and analytics professionals and promote modern, AI-assisted, and agentic engineering practices.
Requirements
- A relevant degree is preferred.
- At least 7 years of relevant experience is required.
- Strong expertise in data engineering, analytics engineering, software engineering, data architecture, or platform engineering, including large-scale distributed data platforms.
- Experience with PySpark, Spark, Python, SQL, distributed data processing, production-grade data products, analytical datasets, and reusable transformation frameworks.
- Strong understanding of entity-relationship modeling, dimensional modeling, ontology development, domain-driven design, semantic architecture, and enterprise data modeling.
- Experience with automated testing, code reviews, version control, monitoring, documentation, release management, and other modern engineering practices.
- Experience designing scalable, secure, reliable, and governed data platforms with data quality, lineage, observability, access controls, privacy, and regulatory compliance.
- Ability to lead architectural decisions, establish engineering standards, communicate technical tradeoffs, and influence direction across teams.
- Ability to translate complex healthcare, operational, financial, and business workflows into durable technical models.
- Strong written and verbal communication skills with technical and non-technical audiences.
- Experience mentoring engineers and fostering technical excellence and continuous improvement.
- Strong understanding of agentic coding, AI-assisted development, and emerging AI technologies in software engineering and analytics workflows.
- Hands-on Palantir Foundry experience, including ontology development, datasets, transforms, Code Repositories, object types, link types, functions, actions, security, and application enablement, is highly preferred.
- Healthcare data experience involving EHR, ERP, FHIR, HL7, Epic, Oracle Health, claims, provider, financial, operational, or clinical data is preferred.
- Experience designing enterprise semantic layers, governed metric frameworks, certified datasets, enterprise reporting foundations, or large-scale ontology implementations is preferred.
Benefits
- Comprehensive benefits plan.
- Incentive eligible.
- Estimated base salary range of $117,600.00 to $206,000.00, with geographic adjustments possible.
- Geographic factors may adjust the salary range, and hires typically fall below the top of the range.
Tech Stack
Categories
Data Engineering
About Vizient
Vizient provides healthcare performance improvement solutions to U.S. hospitals and health systems, combining a group purchasing organization with clinical, operational, and financial analytics and advisory services. Members access a national contract portfolio representing about $156 billion in annual purchasing volume and benchmarking data drawn from extensive provider networks. Headquartered in Irving, Texas, the privately held company serves more than two-thirds of U.S. acute care providers and acquired Kaufman Hall in 2024.