Research Data Platform Architect
Please note you MUST come from a educational or Life Sciences background for this role
The Company:
At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
Job Title: Research Data Platform Architect
Location: [University or Life Sciences Organization]
Role Overview:
The Research Data Platform Architect will lead the design and development of a scalable, secure, and robust data platform to support a variety of research initiatives, data-intensive workflows, and scientific collaboration. You will collaborate with researchers, data scientists, and IT teams to ensure that the platform meets the evolving needs of cutting-edge research in the university or life sciences sector.
Key Responsibilities:
- Architectural Design: Lead the design of data platforms tailored for research, focusing on high-performance computing, data storage, processing, and retrieval in a scalable and secure manner.
- Platform Development: Oversee the implementation of the data platform, including integration with existing systems, data pipelines, and research tools.
- Data Strategy: Develop and implement a strategic roadmap for the platform, ensuring alignment with the institution's research goals and long-term data strategy.
- Collaboration: Work closely with research teams, data scientists, bioinformaticians, and IT to gather requirements, ensure platform usability, and promote adoption.
- Compliance & Security: Ensure the platform meets regulatory and security standards, including HIPAA, GDPR, or other research-specific data protection regulations.
- Optimization: Continuously improve platform performance, availability, and reliability by optimizing cloud-based resources, compute power, and data flow.
- Support & Documentation: Provide technical leadership and support to the research teams, document architecture, standards, and best practices.
- Vendor Management: Liaise with technology vendors to evaluate tools, manage contracts, and integrate external solutions as needed.
Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Bioinformatics, Data Science, or related fields. PhD (preferred) for life sciences organizations.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:
Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
This role at Amber Labs is a Fulltime position, and all employees (Must hold current be elidgable for BPSS Clearance). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.
What Happens Next?
Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.
Top Skills
What We Do
Amber Labs is a partnership of highly-skilled consultants and technologists.
We specialise in the evolution of Data Engineering, Cloud and Analytics.
We focus on delivering value from our client’s data using innovative approaches that reduce risk and delivery time, and that we are constantly improving through R&D.
Amber Labs was founded on three key principles:
An employee first internal culture, through diverse investment and exciting opportunities for our team, and a partnership structure ensuring everyone has an opportunity to share in the success of Amber Labs.
Persistent analysis to identify opportunities to develop artefacts, accelerators and automation that allow rapid deployment of highly-technical solutions to the cloud or on-premise for our clients.
Consistent investment into our ADM (Amber Labs Delivery Methodology -underpinned by Agile Methodology) to ensure we maximise velocity, quality and value