Data Architect

We’re looking for an experienced Lead Data Architect to play a pivotal role in shaping data strategy and delivering innovative solutions across a portfolio of complex, business-critical programmes.

This is an opportunity to work on high-profile projects within secure environments, helping organisations unlock the full value of their data through modern cloud-native architectures. You’ll lead the design of scalable, resilient, and secure data platforms, provide technical leadership across multidisciplinary teams, and act as a trusted advisor to both clients and internal stakeholders.

If you’re passionate about data architecture, cloud technologies, and driving meaningful outcomes in highly regulated environments, we’d love to hear from you., * Lead engagement with internal and external stakeholders to understand business objectives and translate requirements into effective data strategies and architectural solutions.

• Design, develop, and implement secure, scalable, and high-performing data architectures that align with business, security, and operational requirements.
• Architect and deliver cloud-native data solutions across AWS and other leading cloud platforms, enabling both batch and real-time data processing capabilities.
• Provide technical leadership and mentorship to data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering.
• Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions.
• Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks.
• Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards of security and data integrity.
• Oversee architectural governance, ensuring technical delivery remains aligned with approved designs and proactively managing any design deviations.
• Support business development, pre-sales activities, and client proposals by providing architectural expertise and technical leadership.
• Identify and address breaches in data standards, providing recommendations and remediation strategies to improve compliance and quality.
• Stay at the forefront of emerging technologies, trends, and best practices within cloud, data, and security domains, bringing innovative thinking into client engagements.

• 6+ years’ experience in Data Architecture, delivering complex, large-scale, and secure data solutions.
• Strong expertise designing and implementing cloud-based data architectures, particularly within AWS environments.
• Deep technical knowledge of AWS services, including EC2, S3, RDS, Lambda, Redshift, and related data services.
• Proven experience designing secure architectures within sensitive or highly regulated environments.
• Hands-on experience with Apache Flink and real-time data processing architectures.
• Strong understanding of data modelling methodologies, architectural patterns, and industry standards.
• Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management.
• Experience leading technical teams and mentoring architects, engineers, and other data professionals.
• Ability to engage, influence, and build credibility with senior business and technical stakeholders.
• Experience working closely with cyber security teams to ensure secure-by-design solutions.
• Strong understanding of cloud operating models and DevOps-led delivery approaches.

Desirable

• Experience across additional cloud platforms, including Microsoft Azure and Google Cloud Platform (GCP).
• Knowledge of Scala and Apache Spark.
• Experience supporting pre-sales, bids, and client-facing solution development.
• Exposure to government, defence, national security, or other highly regulated sectors.

What You’ll Bring

• Strategic thinking combined with hands-on technical expertise.
• A consultative approach with the ability to influence stakeholders at all levels.
• Passion for delivering secure, high-quality data solutions that drive business value.
• Strong leadership skills with a commitment to developing and mentoring others.
• A collaborative mindset and the ability to thrive in fast-paced, project-driven environments.