Support the change management process and lead efforts to improve/optimise practices Lead CI/CD activities, management of environments and management of tooling used to support GCP data development  Lead the identification, creation, refinement and development of technical work required to improve the reliability and supportability of the applications Create, review and maintain technical and functional documentation as required Lead engagements with Technical SMEs and global architecture teams on application design Lead impact analysis of hardware upgrades and software launches Participate in pair programming as required Support maintenance and developing new IT Controls (GRC/Application Assessments /AFR/ITPM/S-Ox/Audit); Ensure appropriate use of Ford IT processes, tools and methodologies Support continuous improvement of departmental processes Experience piloting new technologies and designing implementation strategies GCP – ETL solutions Cloud reporting solutions (Looker, Qliksense) Experience designing and implementing enterprise best practices regarding existing or new technology/tooling  GCP certifications (e.g. Professional Data Engineer) Data engineering or development experience gained in a regulated, financial environment Experience of senior responsibilities including: Dev Reviews Change management  Building technical roadmaps Exposure or experience in the following Skills and Techniques:  Agile/PDO Ceremonies  People & Skills Coaching  Coordination and logistical planning Business focused cascades of technical strategies and/or road-maps Experience working on databases and connectors. Knowledge of additional cloud services and infrastructure as code (Terraform, CloudFormation). Experience implementing enterprise scale Test-Automation Experience implementing enterprise-scale Real-Time performance monitoring, Appreciation of processes and architectural standards required in large organisations.  10+ years experience working with data. GCP Bit Query knowledge and experience is essential as this is what RD team uses. Working knowledge of cloud platform services.  Experience of working to customer requirements, coordinating delivery of quality work within an agreed time-box  Strong prioritisation, co-ordination, organisational and communication skills, with ability to work in a large diverse team Demonstrated evidence of architecture practices Customer focused and strong team orientation  Ability to work closely within an Agile and PDO team environment  Exposure or experience in the following technologies:  GCP CI/CD pipelines GCP cloud setup and maintenance GCP - BitQuery GitHub Database – SQL, Stored Procedures Configure and manage GCP services such as Compute Engine, App Engine, Cloud Storage, BigQuery, Cloud Functions, and Cloud Pub/Sub. Develop and maintain cloud infrastructure using Terraform, Cloud Deployment Manager, and Kubernetes Implement and manage CI/CD pipelines using Tekton, Cloud Build, Jenkins and other automation tools. Monitor and optimize GCP services for cost and performance. Troubleshoot and debug GCP services. Develop and maintain GCP security policies, best practices and documentation. Design and implement efficient and scalable database structures within Google BigQuery to support our data needs. Load data into BigQuery from a variety of sources, including cloud storage, on-premises databases, and streaming data sources. Transform data using BigQuerys built-in features and third-party tools. Develop reusuable Stored Procedures in BigQuery. Query data using BigQuery’s SQL engine and visualization tools. Implement and monitor performance metrics to identify and address bottlenecks, ensuring optimal query execution times. Implement and uphold data security best practices to safeguard sensitive information within the BigQuery environment. Experience with designing and optimizing ETL processes to ensure smooth data flow into BigQuery. Knowledge on the latest BigQuery features and best practices.