Own the Data Platform architecture and strategy, defining the long-term target state and setting clear standards and guardrails to ensure scalability, resilience, and cost efficiency.
Set the engineering bar by establishing best practices across data ingestion, streaming, transformation, modelling, CI/CD, orchestration, testing, observability, and governance.
Act as the senior technical authority across data engineering, influencing architecture decisions and leading the Data Engineering Community of Practice to raise capability across the organisation.
Champion “data as a product”, ensuring datasets and platform services are reliable, discoverable, reusable, and governed with clear ownership and service expectations.
Drive strategic technical direction while remaining hands-on where it matters—reviewing designs, validating patterns, and guiding complex problem-solving without becoming a delivery bottleneck.

Extensive experience in Data Engineering within modern, cloud-based data platforms.
Deep expertise in streaming-first architectures, with strong knowledge of batch processing approaches.
Strong experience across AWS data ecosystems, Databricks, dbt, CI/CD practices, and orchestration frameworks.
Proven track record of defining and implementing large-scale platform architecture and engineering standards.
Strong understanding of data modelling, ingestion patterns, performance optimisation, observability, governance, and security.
Experience influencing senior engineers and stakeholders across multiple teams without formal authority.
Experience leading engineering communities of practice and raising technical standards at organisational scale.
Ability to operate independently in complex, high-impact environments.

Principal Data Engineer

Key skills