Director, Data and Platform

Job not on LinkedIn

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $220k - $260k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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RxSense

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 Private Equity Round on 2020-05

Consulting • Logistics • Healthcare

RxSense is a HealthTech company dedicated to modernizing pharmacy benefit management. They develop cutting-edge products that optimize claims adjudication and analysis, aiming to lower costs and improve access within the pharmacy ecosystem. RxSense offers solutions for PBMs, pharmacies, pharma manufacturers, payers, and consumers, supporting better outcomes for millions of people daily. Their products include advanced tools like the RxIQ Enterprise adjudication engine, business intelligence analytics platform, and AI-based pricing optimization. They are known for their flagship prescription savings brand, SingleCare, which helps consumers secure affordable prices while benefiting pharmacy partners.

📋 Description

• Own the end-to-end data architecture, from ingestion through ETL, transformation, extracts, and stakeholder dashboards • Own DevOps and infrastructure for the AI engineering team, including platform architecture from ingestion through serving • Set technical direction and standards for data infrastructure, pipelines, ETL/transformation logic, and platform reliability • Design accurate, timely, and trusted extract and reporting layers • Build, deploy, observe, and stabilize production-grade systems and infrastructure • Write and ship production code • Build and lead the data and platform team, including hiring and day-to-day direction • Mentor engineers on architecture, data design, DevOps, and platform thinking • Communicate technical tradeoffs to engineers, architects, and leadership • Partner with AI engineering leadership to align platform investments with product and research priorities • Translate business and executive priorities into data strategy and architecture decisions

🎯 Requirements

• 8+ years architecting and building platforms in production (strong candidates with less experience can still be considered) • Proven, hands-on experience owning data architecture end to end, including ingestion, ETL and transformation, extracts, and the reporting or BI layer • Proven, hands-on DevOps experience building, deploying, and operating systems and infrastructure at scale • Track record of writing and shipping production code • Hands-on experience with big data/distributed processing such as Spark and Kafka • Experience with NoSQL and document stores such as MongoDB and DynamoDB • Experience with data warehousing such as Snowflake, Redshift, and BigQuery • Experience with high-throughput transactional databases including Postgres and MySQL • Rigorous PHI/PII handling and detection practices • Experience with GitOps workflows, Kubernetes, and cloud infrastructure such as AWS or equivalent • Excellent communication and collaboration skills • Experience mentoring engineers on architecture, data design, DevOps, and/or platform thinking • Prior experience building and leading a team, or clear readiness to take on direct reports • Comfort working in a small, fast-moving team where multiple hats are required • Bonus: experience architecting data platforms for AI/ML workloads, vector databases, regulated data environments, and greenfield platforms