About the role
Lead the strategy, architecture, development, and optimisation of enterprise-scale data platforms and data products while managing a team of Data Engineers. Partner with business, analytics, data science, IT, and architecture teams to deliver scalable data engineering solutions.
Responsibilities:
- Lead enterprise data platform architecture and engineering initiatives.
- Design and oversee scalable batch and real-time data pipelines.
- Drive cloud, lakehouse, data warehouse, and data modernisation initiatives.
- Establish standards for data quality, governance, security, and performance.
- Lead CI/CD, automation, monitoring, and platform reliability.
- Manage, mentor, hire, and develop Data Engineering teams.
- Work with senior stakeholders across business and technology functions.
- Drive adoption of emerging data and cloud technologies.
Key Skills:
- Advanced SQL, Data Modelling and Database Performance
- Microsoft Fabric / Azure / GCP / AWS / Databricks
- ETL/ELT, ADF, Fabric Data Factory, Spark, Airflow
- Data Lakehouse, Delta Lake, Medallion Architecture
- Kafka / Event Hub / Streaming
- Terraform / Infrastructure as Code
- Docker, Kubernetes, OpenShift
- Python / Scala / Java
- Git, Azure DevOps, CI/CD and DevSecOps
- Data Governance, Data Quality, Metadata and Lineage
- Enterprise Data Architecture and Cloud Data Platforms
- Strong Technical Leadership and People Management