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Public Health Cloud Solutions Architect; Remote Eligible

Remote / Online - Candidates ideally in
Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Mathematica, Inc.
Remote/Work from Home position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 105000 - 140000 USD Yearly USD 105000.00 140000.00 YEAR
Job Description & How to Apply Below

Public Health Cloud Solutions Architect (Remote Eligible)
About Mathematica:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.

Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance.

Primary Duties and Responsibilities:

Mathematica is seeking an experienced Public Health Cloud Architect to help transform how our clients collect, exchange, manage, and use critical health data. This is an ideal opportunity for a cloud architect who enjoys both strategic solution design and hands-on implementation, and who is passionate about applying modern cloud technologies to solve meaningful public health challenges.

Responsibilities:
  • Lead the architecture, design, and implementation of cloud-native solutions supporting public health and other social policy domains aligned with Mathematica's mission.
  • Establish and promote cloud architecture standards, reusable solution patterns, Infrastructure-as-Code approaches, Dev Sec Ops  practices, and responsible AI design principles that improve delivery consistency, operational excellence, security, innovation, and long-term sustainability.
  • Design and implement standards-based interoperability solutions using FHIR, HL7, CDA/CCDA, and related healthcare data standards to enable secure and scalable data exchange.
  • Architect scalable AWS-based data platforms, including data lakes, data warehouses, metadata repositories, and integration services, using technologies such as Health Lake, S3, Lambda, Glue, Athena, Redshift, API Gateway, and ECS/EKS.
  • Lead the design and implementation of data ingestion, ETL/ELT, and data transformation frameworks that integrate data from clinical, claims, laboratory, public health, and other health-related data sources
  • Collaborate with domain experts such as public health clients, epidemiologists, program staff, data stewards to translate mission needs and business requirements into scalable technical solutions
  • Provide technical leadership and mentorship to cloud engineers, developers, data engineers, and solution architects through architecture guidance, design reviews, code reviews, and troubleshooting support.
Required Qualifications:

At least 5 years of relevant experience demonstrating:

  • Hands-on experience designing and implementing solutions using AWS services such as Health Lake, S3, Lambda, Glue, Athena, Redshift, API Gateway, ECS/EKS
  • Hands-on experience implementing FHIR-based solutions using AWS Health Lake, HAPI FHIR, or other FHIR server technologies. FHIR APIs, implementation guides, and standards-based exchange experience are strongly preferred.
  • Experience transforming, validating, mapping, and exchanging healthcare data using health data standards such as such as FHIR, HL7, CDA/CCDA, etc.
  • Design data ingestion and ETL/ELT pipelines, data lakes or warehouses, metadata-management capabilities, and entity or master-data-management solutions.
  • Experience using Terraform, Open Tofu, AWS CDK, Cloud Formation, or comparable Infrastructure as Code tools.
  • Designing and implementing secure cloud architectures, including identity and access management, encryption, network security, logging, and controls appropriate for sensitive health data
  • Experience developing Python and/or other modern programming languages used in cloud-native applications.
  • Lead technical work streams by translating business needs into solution designs, sequencing implementation activities, coordinating with delivery teams, and communicating technical decisions,…
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