Head of Data Platform, Homeprotect

• 5+ years of experience working in data engineering, data warehousing, or a similar field
• Proven experience delivering a significant data warehouse migration, ideally to Google BigQuery
• Deep hands-on expertise with BigQuery and other Google Cloud Platform (GCP) services, such as Cloud Storage, Dataflow, Pub/Sub, Dataplex, and IAM
• Proven track record of leading and managing technical teams, with excellent people development skills
• Strong project management skills, with experience running complex data initiatives
• Strong knowledge of modern data engineering, including SQL, Python, Airflow, Dataform/DBT, Terraform, or similar tools
• Understanding of data architecture patterns (e.g., lakehouse, event-driven pipelines, star/snowflake schemas)
• Excellent communication and stakeholder management skills
• Experience working in agile environments and cross-functional teams

Desirable

• As our Head of Data Platform, you will be instrumental in the successful migration of our existing Azure data warehouse to Google BigQuery, laying the foundation for a modern, scalable, and reliable data platform
• You’ll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence, analytics, and data science needs
• This is a hands-on leadership role, combining deep technical experience, strong project delivery skills, and people leadership
• You will directly manage a team of data engineers and collaborate with pricing, analytics, IT, and business stakeholders
• Your team will also be responsible for establishing and enforcing DevOps and FinOps best practices
• Lead the end-to-end migration of the existing data warehouse to Google BigQuery, guiding the internal team and collaborating effectively with our implementation partner
• Own and evolve the data platform strategy, architecture, and roadmap
• Ensure robust data governance, quality, and security throughout the migration and beyond
• Collaborate with key business units to drive adoption and effective usage of the new platform
• Manage and mentor a team of data engineers, fostering a culture of technical excellence and collaboration
• Define and enforce best practices in data modelling, ETL/ELT processes, and pipeline monitoring
• Work closely with stakeholders across analytics, pricing, operations, finance, and product to understand their data needs and ensure the platform meets them
• Manage project timelines, risks, dependencies, and budget where appropriate
• Champion DevOps/DataOps practices, CI/CD for data pipelines, and infrastructure-as-code where applicable
• Stay abreast of new developments in data architecture and cloud technologies and bring innovation into the team