Our client, operating in Gaming, is looking for an experienced Data Architect to join their growing team:
Responsibilities
Oversee and manage the organisation’s data platforms and architecture, ensuring they are reliable, scalable, high-performing, cost-efficient, and compliant with relevant regulations.
Lead the transition of data platform ownership from external vendors to internal teams, facilitating a seamless handover and full adoption by the Platform and Data Team.
Identify and execute opportunities for optimisation, modernisation, and cost reduction within the data stack by designing, implementing, and monitoring effective solutions.
Administer MySQL Percona and other data platforms, managing Change Data Capture (CDC) processes, tuning system performance, optimizing storage, and ensuring high availability and operational efficiency.
Design and maintain an enterprise data management framework encompassing planning, acquisition, usage, archiving, retrieval, governance, and purging.
Collaborate with Platform and Data Engineers to establish and implement best practices in storage, CI/CD integration, data service architecture, and automation of provisioning, migrations, and recovery processes.
Develop self-service capabilities for developers, enhance system observability and logging, and implement comprehensive monitoring to track platform health, availability, and cost metrics.
Apply and enforce security best practices, including access controls, encryption, backups, recovery protocols, patching, and compliance with internal policies and industry regulations.
Mentor engineers on best practices in data platform architecture and operations, ensuring alignment of data strategies with broader platform and development goals.
Evaluate emerging technologies through proof-of-concepts (PoCs), define and monitor key performance indicators (KPIs), and continuously improve platform performance, security, and cost-efficiency while providing actionable insights to leadership.
Requirements
Deep expertise in MySQL Percona and relational database technologies.
Strong scripting and automation capabilities.
Ability to work autonomously while effectively collaborating with stakeholders to resolve issues and remove blockers.
Demonstrated skill in diagnosing and resolving data performance and operational issues across on-premise and cloud environments.
Proficiency in designing and implementing cost-efficient, scalable data solutions.
Hands-on experience with CDC tools, Elasticsearch, and event-driven architectures.
Strong understanding of data platform security practices and experience ensuring compliance with relevant data protection regulations.
Education and Experience
Previous experience in data architecture.
Experience developing and executing strategies for migrating from on-premises databases to cloud-based Lakehouse architectures.
