Data Solution Architect

About the role

This role is centered on designing and shaping data solutions that support both customer-facing systems and internal operational processes within the organization. As the Data Solution Architect, you will own the establishment of architectural direction for data systems, ensuring that every solution is scalable, secure, maintainable, and aligned precisely with evolving business needs. You will work in close collaboration with engineering, product, and data teams to translate intricate requirements into coherent and effective data architectures that meet exacting standards for performance, security, and governance. The position involves guiding teams through the implementation of these architectures, conducting thorough design reviews, and ensuring that all solutions strictly adhere to enterprise standards and best practices. Your work will be critical in enabling the organization to manage its data effectively while maintaining high levels of reliability, security, and compliance across the entire data lifecycle.

Key facts

What you'll do

You will analyze complex business requirements and define the corresponding data architecture to address current and future needs effectively. You will design comprehensive data solutions that integrate structured and unstructured data sources while ensuring optimal performance, scalability, and security. You will lead the creation of data models and system designs that clearly illustrate data flows, integration patterns, and dependencies across the broader technology landscape. You will evaluate and select appropriate data storage technologies, balancing relational and non-relational databases to suit specific use cases. You will oversee the implementation of robust data pipeline and ETL processes, leveraging tools such as SSIS to handle efficient data ingestion, transformation, and loading. You will utilize Python programming to develop scripts and automation that enhance data processing capabilities and operational efficiency. You will define and contribute to technical standards, architecture frameworks, and best practices that govern data projects across the organization. You will lead technical design sessions and reviews, providing guidance to delivery teams to ensure architectural consistency, quality, and alignment with strategic objectives. You will communicate complex technical concepts in a clear and accessible manner to non-technical stakeholders, facilitating informed decision-making at all levels. You will collaborate extensively with cross-functional and often remote teams to foster alignment and a shared understanding of architectural goals. You will incorporate knowledge of data security, privacy, and compliance standards to ensure that enterprise data management practices remain robust and defensible. You will stay informed on emerging data technologies and trends, applying a proactive approach to continuous learning and improvement.

Requirements

A minimum of 7 years of experience in data architecture, software engineering, or technical leadership roles, with proven success in designing scalable data solutions. Extensive experience in designing and delivering data architectures in production environments, with a focus on performance, security, and maintainability. Strong expertise in data modeling, system design, and integration patterns, with a solid understanding of how data flows through complex systems. Proficiency in SQL and large-scale data processing, with hands-on experience working with relational and non-relational databases. Practical experience working with data pipeline and ETL tools such as SSIS or similar solutions for data ingestion, transformation, and loading. Programming skills in Python, particularly for data processing, automation, and scripting tasks. Experience in defining or contributing to technical standards, architecture frameworks, and best practices across data projects. Demonstrated ability to lead technical design efforts and guide delivery teams, ensuring architectural consistency and quality. Strong communication skills, capable of translating complex technical concepts into understandable language for non-technical stakeholders. Ability to work collaboratively across teams and regions, fostering alignment and shared understanding of architectural goals. Knowledge of data security, privacy, and compliance standards relevant to enterprise data management. Experience with cloud platforms (such as AWS, Azure, or GCP) is beneficial but not explicitly required. Familiarity with modern data platforms and cloud-based architectures is a plus. Strong problem-solving skills and the ability to troubleshoot complex technical issues efficiently. A proactive approach to continuous learning and staying updated with emerging data technologies and best practices.

Nice to have

Familiarity with modern data platforms and cloud-based architectures. Experience working with cloud services such as AWS, Azure, or Google Cloud Platform. Knowledge of data governance frameworks and compliance standards such as GDPR, HIPAA, or similar. Experience with data security practices and implementing secure data handling procedures. Exposure to big data processing frameworks like Spark, Hadoop, or similar technologies. Understanding of containerization and orchestration tools such as Docker and Kubernetes.

Practical notes

This role is based in London and requires on-site presence at the office. The engagement is full-time. The organization is an equal opportunity employer and values diversity, committed to creating an inclusive environment for all employees. Compensation will be discussed during the hiring process; no specific salary range is provided. The company emphasizes the importance of security and compliance, including adherence to relevant standards and secure data handling practices. Candidates with experience in data architecture, data engineering, or related fields are encouraged to apply for this opportunity to influence the organization's data infrastructure and contribute to strategic data initiatives. The role offers exposure to diverse projects and collaboration with cross-functional teams, supporting professional growth and development.