
10,000+ employees
đĽ Healthcare
đ§Ź Biotechnology
đ Pharmaceuticals
Healthcare ⢠Biotechnology ⢠Pharmaceuticals
Fortrea is a global clinical research organization (CRO) specializing in providing comprehensive clinical development services to biopharma and MedTech companies. With over 30 years of experience, Fortrea offers a range of services including clinical pharmacology, phase I-IV study management, regulatory strategy, market access, and more. They focus on advancing healthcare innovation by integrating data and scientific expertise to deliver tailored solutions that enable faster decision-making and improve patient outcomes, especially in the realm of cell and gene therapy programs, as well as various therapeutic areas like oncology, cardiovascular, and infectious diseases.
đĽ 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
đĽ Healthcare
đ§Ź Biotechnology
đ Pharmaceuticals
Healthcare ⢠Biotechnology ⢠Pharmaceuticals
Fortrea is a global clinical research organization (CRO) specializing in providing comprehensive clinical development services to biopharma and MedTech companies. With over 30 years of experience, Fortrea offers a range of services including clinical pharmacology, phase I-IV study management, regulatory strategy, market access, and more. They focus on advancing healthcare innovation by integrating data and scientific expertise to deliver tailored solutions that enable faster decision-making and improve patient outcomes, especially in the realm of cell and gene therapy programs, as well as various therapeutic areas like oncology, cardiovascular, and infectious diseases.
⢠Develop and maintain the organization's IT architecture framework aligned with business objectives, industry best practices, and emerging technologies ⢠Serve as hands-on technical architect and subject matter expert for Data Governance, Data Quality, Master Data Management, Metadata Management, Data Catalog, and AI-enabled data management platforms ⢠Design, implement, and maintain enterprise data architecture standards, canonical data models, metadata frameworks, and governance practices ⢠Lead technical design and configuration of MDM solutions, including data modeling, matching, survivorship, hierarchy management, and integration patterns ⢠Analyze enterprise data quality issues through data profiling, root cause analysis, quality assessments, and measurement frameworks; define remediation strategies and business rules ⢠Architect and optimize enterprise Data Catalog and Metadata Management capabilities, including business glossary, lineage, classification, stewardship, and metadata enrichment ⢠Identify and implement AI, machine learning, and intelligent automation capabilities for data quality monitoring, anomaly detection, metadata enrichment, entity resolution, stewardship workflows, and governance operations ⢠Provide technical leadership and guidance to architecture and development teams ⢠Collaborate with stakeholders to translate business requirements into scalable technical solutions ⢠Design end-to-end IT solutions covering infrastructure, applications, data, and security components ⢠Evaluate and recommend technologies, tools, and methodologies ⢠Lead architectural reviews and guide development teams on architectural principles, standards, and guidelines ⢠Identify and mitigate architectural risks and issues ⢠Define and maintain IT architecture documentation, including diagrams, standards, policies, and procedures ⢠Stay current with industry trends, emerging technologies, and best practices ⢠Deliver high-quality, scalable data products that measurably impact company performance ⢠Perform other duties as needed or assigned
⢠Bachelor's degree in Computer Science, Information Technology, or related field ⢠Fortrea may consider relevant and equivalent experience in lieu of educational requirements ⢠10 years of experience in Enterprise, Business, Information, Systems and Application, Solution Architectures ⢠Strong expertise designing and implementing enterprise-scale IT solutions across multiple platforms and technologies ⢠Hands-on experience with enterprise data architecture, Data Governance, Data Quality, Metadata Management, Data Catalog, MDM, or related data management solutions ⢠Experience implementing data solutions in Microsoft Azure ⢠In-depth knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud and their services ⢠Proficiency in system integration techniques, including API design, microservices architecture, and message queuing protocols ⢠Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet ⢠Excellent analytical, problem-solving, and decision-making skills ⢠Excellent leadership, communication, and interpersonal skills ⢠Ability to influence and collaborate effectively with stakeholders ⢠Preferred: Master's degree in Computer Science, Information Technology, or related field ⢠Preferred: Experience in pharmaceutical R&D, clinical development, and/or healthcare IT
Apply Nowđ 2 days ago
SAP Signavio Architect leading enterprise process architecture and transformation programs. Supporting SAP S/4HANA alignment, process mining, governance, and adoption across business and IT teams
đ 5 days ago
Observability Architect guiding Grafana Cloud customersâ technical success in India. Designing observability roadmaps, troubleshooting deployments, driving adoption, and representing customer needs internally.
đ 6 days ago
Senior architecture leader modernizing Empowerâs regulated financial platforms. Leading architecture teams, governance, data and integration strategy, and scalable cloud-enabled transformation.
đ 6 days ago
Senior Integration Architect designing API-first and event-driven architectures for Empowerâs financial-services platform. Modernizing enterprise integrations, defining data contracts, and improving distributed-system reliability across legacy and cloud systems.
đ July 28
Field Architect at MinIO providing technical leadership for AIStor architectures and customer engagement. Guiding customers in scalable architecture design and implementation with a focus on data-intensive workloads.