Head of Data Engineering Architecture

We are recruiting for an experienced Head of Data Engineering & Architecture to build a worldclass 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 crossteam projects or programmes within the Data function and ensure that we have governance in place to manage delivery. 

Wed 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 infrastructureascode 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 

Additional Information :

Enjoy fantastic perks like private healthcare & dental insurance a generous work from abroad policy 2for1 share purchase plans extra festive time off and excellent familyfriendly benefits. 

We prioritise career growth with clear career paths transparent pay bands personal learning budgets and regular learning days. Jump on board and supercharge your career from day one! 

Our values represent the things that matter most to us and what we live and breathe everyday in everything we do: 

• Think Big Were building the future of rail 
• Own It We focus on every customer partner and journey 
•   Travel Together Were one team 
• Do Good We make a positive impact 

Interested in finding out more about what its like to work at Trainline Why not check us out on LinkedIn Instagram and Glassdoor!