Director, Data and Platform New Remote-US

RxSense LLC; Northern (KY); Hybrid; USD 220,000 - 260,000; Full time

Job summary

RxSense LLC in the United States is seeking a Director of Data and Platform Architecture to own the full data architecture end to end, from ingestion through ETL to dashboards. This is a hands-on leadership role with immediate reports and ongoing code contributions.

You will design the platform underlying AI engineering, set standards for data pipelines and reliability, mentor engineers, and partner with AI leadership to align investments with product and research priorities.

Qualifications

• 8+ years architecting and building production platforms.
• Hands-on data architecture across ingestion, ETL, and reporting.
• Hands-on DevOps experience; you build, deploy and operate systems.
• Proven ability to ship production code.
• Experience with modern data stack (Spark, NoSQL, data warehousing) with PHI/PII handling.

Responsibilities

• Own data architecture end to end from data landing through ETL and dashboards.
• Own devops and infrastructure for the AI team end to end.
• Set technical direction for data infrastructure, pipelines, and platform reliability.
• Design extract and reporting layers for accurate, timely analytics.
• Build and deploy the systems you design; ensure production-grade reliability.
• Write and ship code yourself.
• Lead the data and platform team as it grows, including hiring.
• Mentor engineers on architecture and data design.
• Communicate tradeoffs clearly to engineers and leadership.
• Partner with AI leadership to align platform investments with product priorities.
• Translate business priorities into data strategy decisions.
• Collaborate across teams to align platform decisions with product and research priorities.

Skills

Data architecture

DevOps

Platform engineering

Leadership

Hands-on coding

Tools

Spark

Kafka

MongoDB

DynamoDB

Snowflake

Redshift

BigQuery

PostgreSQL

MySQL

Kubernetes

AWS

Job description

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.

As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.

Position Summary

We're adding a director of data and platform architecture to a small, high-leverage AI engineering team. You'll own the full data architecture end to end: how data lands in our systems, how it moves through ETL and transformation, and how it ultimately reaches stakeholders through extracts and dashboards. You'll also own devops and infrastructure for the AI engineering team, meaning you decide how everything gets built, deployed, and kept running. You'll set that architecture and build it yourself. This is a hands-on keyboard role, even at the director level.

This role comes with direct reports from the start. You'll build and lead the team as it grows, while staying close enough to the work to keep shipping code yourself.

Essential Duties and Responsibilities

• Own the data architecture end to end, from the moment data lands in our systems through ETL and transformation, extracts, and the dashboards stakeholders rely on.
• Own devops and infrastructure for the AI engineering team end to end. Design and own the platform architecture underlying our AI engineering systems, from ingestion through serving.
• Set technical direction and standards for data infrastructure, pipelines, ETL and transformation logic, and platform reliability.
• Design the extract and reporting layer so downstream dashboards and analytics are accurate, timely, and trusted.
• Build the systems and infrastructure you design, and make them production grade: deployable, observable, and stable enough to run without hand holding.
• Write and ship code yourself.
• Build and lead the data and platform team as it grows, from hiring through day-to-day direction.
• Mentor engineers on architecture, data design, devops, and/or platform thinking.
• Communicate tradeoffs clearly to engineers, other architects, and leadership. Turn complex systems into decisions people can act on.
• 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, so technical investments map directly to what the business needs next. You own the outcome of those decisions.
• 8+ years architecting and building platforms in production. Not a hard cutoff: 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: you build, deploy, and operate the systems and infrastructure you design, and what you ship performs in production at scale.
• A track record of writing and shipping production code yourself, not just producing diagrams and design documents.
• Hands‑on depth across the modern data stack: big data/distributed processing (e.g., Spark, Kafka), NoSQL and document stores (e.g., MongoDB, DynamoDB), data warehousing (e.g., Snowflake, Redshift, BigQuery), and high-throughput transactional databases (Postgres, MySQL) with rigorous PHI/PII handling and detection practices.
• Hands‑on experience with devops tooling and practices: GitOps workflows, Kubernetes, and cloud infrastructure (AWS or equivalent).
• Excellent communication and collaboration skills. You translate complex architecture decisions into terms engineers, other architects, and non‑technical leadership can act on, and you do it consistently, not just in big reviews. You work across teams by default, aligning platform and data decisions with product, research, and business priorities rather than building in isolation.
• 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 you'll wear multiple hats.

Bonus Qualifications

• Experience architecting data platforms that support AI or ML workloads.
• Experience with vector databases for AI/ML retrieval (e.g., Qdrant, Pinecone, Weaviate).
• Experience in healthcare, pharmacy benefits, or another regulated data environment.
• Experience standing up data platforms from scratch (greenfield), not just extending or migrating existing systems.

Salary Range: 220,000 - 260,000

RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and

Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in RxSense’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.