Lead Data Architect (eDV)

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.

In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.

We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. Due to the nature of the work and the customers, you must hold enhanced DV Security Clearance.

As a Lead Data Architect, with a minimum of 6 years of experience, you will play a role in shaping data strategy and ensuring the success of our client’s complex, critical high-profile projects. You will support the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms, while also serving as a mentor to a team of skilled data professionals.

Responsibilities

Engage with stakeholders, both internal and external, to understand business

Requirements

, provide strategic guidance, and ensure that data solutions meet their objectives Support the design, development, and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance, and scalability

Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards and government regulations, maintaining the highest levels of data security and integrity Monitor technical deliverables against the designs, manage and report on design divergences Support the sales and pre-sales teams by providing expert advice and input on proposals, ensuring technical feasibility and alignment with client needs Advise and support on breaches of data standards and make recommendations about how they should be resolved Stay up to date with the latest advancements in cloud technologies, data architecture, and security practices, and apply this knowledge to continuously improve our offerings Core Experience and Competencies 6+ years of experience in data architecture, with a focus on secure, large-scale, and complex projects Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Redshift.