Job description

Location : Hybrid- New York or Metropark Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy. About our Company : Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com . Listen to our latest podcast, from Dreamers to Disruptors , and follow us at @Medidata. About the Team: We are seeking a Principal Systems Architect to drive the end-to-end technical architecture across a multi-product, cloud-native SaaS platform undergoing enterprise modernization and AI enablement. Operating as an industry expert and key technical authority, you will navigate high ambiguity to establish multi-year architectural strategies, define target-state architecture, and build reference implementations adopted across the entire engineering organization. This is a hands-on, senior individual contributor role for an organizational force multiplier — a "10x" engineer who demonstrates the power of one. You will align cross-functional priorities, solve critical enterprise challenges, and work shoulder-to-shoulder with teams from whiteboard to production, raising the standard of engineering excellence company-wide. Responsibilities: • Define end-to-end, outcome-based solutions across product lines and engineering domains — ensuring multi-system interoperability, alignment to enterprise architecture standards, and capability reuse. • Author architectural blueprints and decision records; partner with Product Management to evaluate emerging technologies and translate business strategy into multi-year technical roadmaps. • Design multi-tenant, event-driven, microservices systems at scale — messaging architectures, data partitioning strategies, and web APIs (REST, GraphQL) — setting enterprise standards for application security. • Stay hands-on: build proofs of concept and reference implementations, review critical pull requests, and set engineering standards through working code — not just documents. • Own AWS cloud architecture across container orchestration (Kubernetes/EKS) and serverless (Lambda), standardizing the deployment lifecycle through Infrastructure as Code (Terraform). • Design enterprise-grade AI agents and LLM-powered capabilities — MCP-based services, orchestration, tool use, and evaluation — with human-in-the-loop governance; partner with Data teams to operationalize production ML. • Lead complex legacy modernization and migration programs with phased, de-risked delivery strategies; advise executive leadership on technical risk assessment. • Exercise wide autonomy to mentor senior and staff engineers, run cross-team architecture reviews, and resolve critical, enterprise-level challenges where precedent does not exist. Responsible for developing resolution to critical issue. Qualifications: • Bachelor's degree with 15+ years of experience, Master's degree with 12+ years, or PhD with 8+ years in Computer Science, Software Engineering, or a related technical field. • Progressive software engineering background, including significant tenure at a Principal/Architect level shaping platform strategy. • Expert-level proficiency in Java and Python, alongside broad multi-language proficiency. • Proven history of designing resilient, high-throughput distributed systems and data pipelines operating at scale. • Hands-on mastery of cloud platforms (Kubernetes, serverless, Terraform/IaC) and modern data tooling. • Direct experience operationalizing enterprise AI/LLM product capabilities, agent orchestration, and evaluation frameworks. • Excellent communication and influencing skills—capable of translating architectural trade-offs for engineers, executive leadership, and compliance bodies. • Exercises wide latitude in high-ambiguity environments to establish technical direction and solve critical enterprise challenges. • Nice to Have • Substantial exposure to the life sciences sector, specifically regarding clinical trial platforms (EDC, CTMS, eTMF) or similar high-compliance GxP software environments. • Advanced AWS credentials or a demonstrated history of architecting sophisticated, large-scale solutions on the AWS cloud platform. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The salary range for positions that will be physically based in New York or Metropark is $157,500 - $210,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity : In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. We will accept applications on an ongoing basis until we fill the position. Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $157500 and $210000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

Requirements

Must-haves

Location : Hybrid- New York or Metropark
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.
Define end-to-end, outcome-based solutions across product lines and engineering domains — ensuring multi-system interoperability, alignment to enterprise architecture standards, and capability reuse.
Author architectural blueprints and decision records; partner with Product Management to evaluate emerging technologies and translate business strategy into multi-year technical roadmaps.
Design multi-tenant, event-driven, microservices systems at scale — messaging architectures, data partitioning strategies, and web APIs (REST, GraphQL) — setting enterprise standards for application security.
Stay hands-on: build proofs of concept and reference implementations, review critical pull requests, and set engineering standards through working code — not just documents.
Own AWS cloud architecture across container orchestration (Kubernetes/EKS) and serverless (Lambda), standardizing the deployment lifecycle through Infrastructure as Code (Terraform).
Design enterprise-grade AI agents and LLM-powered capabilities — MCP-based services, orchestration, tool use, and evaluation — with human-in-the-loop governance; partner with Data teams to operationalize production ML.
Lead complex legacy modernization and migration programs with phased, de-risked delivery strategies; advise executive leadership on technical risk assessment.
Bachelor's degree with 15+ years of experience, Master's degree with 12+ years, or PhD with 8+ years in Computer Science, Software Engineering, or a related technical field.
Progressive software engineering background, including significant tenure at a Principal/Architect level shaping platform strategy.
Expert-level proficiency in Java and Python, alongside broad multi-language proficiency.
Proven history of designing resilient, high-throughput distributed systems and data pipelines operating at scale.
Hands-on mastery of cloud platforms (Kubernetes, serverless, Terraform/IaC) and modern data tooling.
Direct experience operationalizing enterprise AI/LLM product capabilities, agent orchestration, and evaluation frameworks.
Excellent communication and influencing skills—capable of translating architectural trade-offs for engineers, executive leadership, and compliance bodies.
Exercises wide latitude in high-ambiguity environments to establish technical direction and solve critical enterprise challenges.

Nice-to-haves

Substantial exposure to the life sciences sector, specifically regarding clinical trial platforms (EDC, CTMS, eTMF) or similar high-compliance GxP software environments.
Advanced AWS credentials or a demonstrated history of architecting sophisticated, large-scale solutions on the AWS cloud platform.

Application prep

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Keywords to mirror

airestgraphqlawskubernetesllmmljavapython

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Benefits

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401(K)

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Paid Time Off