We are recruiting for an experienced Head of Data Engineering & Architecture to build a world-class Data Engineering function and data platform, owning both strategy and delivery for Data Engineering as a discipline along with the vision, roadmap, operations and cost of the Data platform and associated products. 

As Head of Data Engineering and Architecture you will... 🚄   

• Lead the org of circa. 30 Data Engineers and Data Engineering Managers. 
• Set the vision and strategy for the Data Engineering function and driving necessary organisational change to achieve the vision. 
• Set the vision, technology blueprint, architecture and roadmap of the Data Platform.  
• Ensure delivery of OKRs for Data and vertical Data Product Teams. 
• Architect our analytical data stores to maximise productivity and efficiency for data consumers with effective metrics and data marts.  
• Ensure that our data assets are discoverable, documented and readily accessible to consumers and appropriately protected. 
• Engage and nurture the Data Engineering teams to drive and foster a high engagement culture. 
• Manage the costs of data systems and 3rd party suppliers within the current FY budget and accurately forecasting the next FY budget. 
• Define and implement effective ways of working for delivery teams and ensuring these are embedded. 
• Influence the direction of our technology platforms so that they are aligned to the needs of delivery teams and driving adoption of new technologies. 
• Embed high standards of engineering excellence in delivery teams. 
• Define effective operational processes and ensuring that teams embed these processes and achieve operational performance targets for availability, performance, security, on call rotas, incident management etc. 
• Ensure the Data Engineering function engages with regulatory, audit or compliance teams and processes and achieves compliance with relevant policies in Data Governance, security, privacy and IT controls. 
• Coordinate larger cross-team projects or programmes within the Data function and ensure that we have governance in place to manage delivery. 

We'd love to hear from you if you... 🔍 

• Thrive in a diverse, open and collaborative environment. 
• Have experience managing multiple teams of Data Engineers. 
• Are in expert in data engineering infrastructure, technologies and practices. 
• Have deep expertise in data modelling and warehouse design in the modern, lake house era.  
• Are an experienced and committed people manager with technical leadership experience. 
• Are passionate about agile software delivery with a track record of leading effective agile and lean software teams. 
• Have a strong background in DevOps deploying, managing and maintaining services using Airflow, Docker, Terraform and AWS CLI tools to achieve infrastructure-as-code and automated deployments. 
• Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). 

Our Technology Stack 💻 

• Python and Scala 
• Starburst and Athena 
• Kafka and Kinesis 
• DataHub 
• ML Flow and Airflow 
• Docker and Terraform 
• Kafka, Spark, Kafka Streams and KSQL 
• DBT 
• AWS, S3, Iceberg, Parquet, Glue and EMR for our Data Lake 
• Elasticsearch and DynamoDB