Lead Data Architect

Role Overview

• 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 requirements
• 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.

Requirements

• 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. Experience with other cloud providers (e.g., Azure, GCP) is a plus
• In-depth knowledge and hands-on experience with Apache Flink for real-time data processing
• Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment
• Strong ability to engage with and influence senior stakeholders, understanding their needs and translating them into actionable technical plans
• Desirable skills in Scala and Spark to support wider programmes of work
• Hands-on Public Cloud experience in either AWS/Azure/Google Cloud Platform, both their ‘services’ and ‘how’ to work in the cloud such as DevOps-centric approach
• Having worked in sensitive data environments and ideally have experience facing off to cyber security specialists
• Understand and apply recognised data modelling patterns and standards.

Tech Stack

• Amazon Redshift
• Apache
• AWS
• Azure
• Cloud
• Cyber Security
• Distributed Systems
• EC2
• ETL
• Google Cloud Platform
• Scala
• Spark

Benefits

• 25 days holiday plus bank holidays
• company paid medical insurance
• life assurance
• pension scheme
• annual training allowance
• wellbeing allowance
• virtual GP
• Employee Assistance plan
• and more.