aiawssolution architecturedata architecturesecurity architectureapi integrationcloud architecturegenomicshealthcare data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
£97к/год
£65к£84кмедиана£130к
По похожим ролям (49) ~ £84к/год
На СНГ рынке: $4.6к/мес ($3.3к - $5.5к)
87
Хорошая вакансия
развернуть
Чёткая зона ответственности для старшего архитектора, сильный фокус на AWS и значимая миссия в геномных исследованиях делают вакансию привлекательной. Зарплата соответствует среднему уровню рынка, а условия и льготы добавляют плюсов.
Solution Architect (Genomics/AWS): Designing secure, scalable and resilient platforms for the Use Research Data service, enabling controlled access to large-scale genomic and associated health data with an accent on AWS architecture, data-intensive platforms, integration and security. Focus on translating complex research needs into technical designs, developing reusable architecture patterns, guiding delivery roadmaps, and ensuring governance across the full service lifecycle.
Location: Hybrid, London, United Kingdom; office attendance is generally expected at least twice per month, with offices in London, Cambridge and Leeds.
Salary from £96,500 per year.
Company
hirify.global enables genomic medicine and research through national genomic healthcare programmes, research data services and complex healthcare software systems.
What you will do
Lead architecture and solution design for the Use Research Data service, covering application, data, infrastructure, integration and security domains.
Architect secure storage, processing, analysis and controlled access for large-scale genomic and associated health data.
Work with product, engineering, science, data, security and delivery stakeholders to translate complex needs into practical solutions and roadmaps.
Guide architectural decisions from discovery and technical evaluation through implementation and live service, balancing strategic direction with delivery constraints.
Develop reusable architecture patterns and contribute to interoperability, maintainability, architecture governance and assurance.
Identify risks, dependencies and emerging AWS technologies while documenting decisions and communicating them to technical and non-technical audiences.
Requirements
Substantial, hands-on experience designing and delivering AWS solution architectures in complex, data-intensive environments, with knowledge of compute, storage, networking, identity, security, data processing and integration services.
Experience designing architectures across application, data, infrastructure and security domains, including secure, scalable and resilient platforms for large and complex datasets.
Strong understanding of architecture patterns and principles for cloud and hybrid environments.
Experience translating complex business, research or user needs into technical designs and delivery roadmaps, while balancing strategic direction with immediate delivery needs.
Experience collaborating with engineering, product, data, security, delivery and domain stakeholders.
Understanding of secure-by-design principles, data protection, governance, access controls, integration patterns, APIs and interoperability.
Experience documenting architectures, options, risks and decisions and providing architectural governance and assurance throughout delivery.
Strong stakeholder engagement, collaborative decision-making and continuous improvement skills.
Demonstrable experience using innovative technology such as AI.
Nice to have
AWS architecture or another relevant professional certification.
Experience with data-intensive research, scientific, healthcare, genomics or other regulated platforms.
Postgraduate qualification in genomics, bioinformatics or a related field, or extensive equivalent experience.
Knowledge of AWS HealthOmics or other AWS services for genomics and large-scale research workloads.
Experience with high-performance compute, large-scale or high-speed storage, workflow orchestration or distributed data processing.
Knowledge of research data lifecycles, DevOps, CI/CD, infrastructure as code, automation, observability, metadata, data lineage, data products and interoperability standards.
Knowledge of OMOP, GA4GH, FHIR, Common Workflow Language, Nextflow or WDL.
Experience with Technical Design Authorities, Abacus, TOGAF or equivalent architecture practices.
Culture & Benefits
Blended working with flexible team-designed working patterns and no general expectation of full-time office attendance.
30 days of annual leave plus bank holidays, long-service leave and the option to request up to 30 days of remote working abroad annually.
Defined contribution pension with employer double matching up to 10%, life assurance and an electric vehicle salary sacrifice scheme.
Learning budgets, training and certification support, and reimbursement for one annual professional subscription.
Enhanced family leave, subsidised gym membership, Headspace, Employee Assistance Programme, eye tests and flu jabs.
Inclusive workplace policies and reasonable adjustments for recruitment interviews.
Hiring process
Successful candidates are subject to a Standard Disclosure and Barring Service check.
Recruitment interviews can be adjusted to support candidate participation needs.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →