Data Health Partner

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.

For more information, visit arcadia.io.

The Data Health Partner (DHP) plays a critical role in ensuring that customer data within Arcadia’s platform is accurate, reliable, and actionable.

This role sits at the intersection of data validation, dataset analysis, backend troubleshooting, and cross-functional delivery. The Data Health Partner analyzes healthcare datasets, validates system behavior, and resolves data issues so customers can confidently trust and act on their data.

The Data Health Partner operates within a matrix team structure alongside a Tech Ops Delivery Lead, Data Engineers, fellow DHPs, and the Customer Management team. In this environment, the role is expected to deliver technical work on planned timelines, identify risks early, and communicate proactively with cross-functional partners and leadership.

While primarily focused on backend systems and data integrity, the Data Health Partner will often engage directly with customers to explain findings and support resolution efforts.

The Data Health Partner is part of Arcadia’s Tech Ops organization and reports to the Data Health Manager, ensuring strong technical mentorship, structured growth, and alignment with data quality and platform best practices.

Arcadia embraces modern tooling and innovation. The Data Health Partner is expected to thoughtfully leverage AI tools in daily work to enhance analysis, improve documentation, and increase efficiency while maintaining strong technical judgment and data security standards.

• Serve as a technical expert responsible for ensuring data accuracy, validating backend systems, and troubleshooting complex data issues
• Query and analyze healthcare datasets to identify data quality issues, inconsistencies, and anomalies
• Validate data integrity through backend systems and configuration reviews
• Troubleshoot ingestion, transformation, and orchestration failures
• Monitor job workflows and diagnose dependency or sequencing conflicts
• Deliver assigned technical work within agreed timelines and flag risks early
• Partner with the Customer Management team to align technical execution with customer priorities
• Support customer discussions when technical clarification is needed
• Participate in production support workflows to verify fixes and confirm resolution
• Collaborate across Data, Product, R&D, and customer teams to support scalable data solutions and translate technical findings into clear, actionable outcomes
• Document investigations clearly and escalate issues when appropriate
• Apply structured problem-solving to propose practical, technically sound solutions
• Use AI tools to improve efficiency in analysis, troubleshooting, and documentation

• Bachelor’s degree in a STEM or quantitative field, or equivalent experience
• Professional experience working with data in a technical or analytical capacity
• Proficiency in SQL and experience querying complex relational databases. This role requires strong SQL skills and a proven track record of working with large or complex data environments
• Experience analyzing datasets to identify patterns or discrepancies
• Strong analytical and problem-solving skills
• Comfort leveraging AI tools to improve efficiency and workflows
• Ability to operate effectively in a matrixed, cross-functional environment
• Clear written and verbal communication skills
• Curiosity, attention to detail, and strong desire to grow technically
• Typically 2–5 years of relevant experience, though we welcome strong candidates with varied backgrounds

• Exposure to healthcare data (claims, clinical, ADT, provider, etc.)
• Familiarity with AWS (S3, Redshift) or similar cloud platforms
• Experience with Python or other scripting…