Do you enjoy turning complex data into clean, reliable solutions that drive real business value? For our Institutional Clients Platform team within the Technology & Services division, we are looking for a Lead Data Platform Architect who combines deep data engineering expertise with strong software engineering skills - someone who can not only shape and model data, but also write the code to bring it to life.
You'll design and evolve our data architecture, build robust data pipelines, and develop the software solutions that connect data producers and consumers across our platform - all while collaborating closely with engineers, analysts, and business stakeholders.
What would your role be?
Define and evolve our data architecture - establish clear patterns, standards, and best practices across the platform.
Establish and enforce data standards, model design principles, and governance models across the platform.
Turn complex, disparate data sources into clean, well-documented data models that business teams can rely on.
Design and implement data contracts between producers and consumers, ensuring reliable, versioned, and well-documented interfaces.
Own end-to-end pipeline delivery - from source data validation and reconciliation through to consumption-ready models.
Design, build, and maintain data pipelines and transformation logic using dbt-core and Snowflake.
Implement data quality frameworks and automated testing to ensure trustworthy data at every layer.
Work within a web services environment, integrating data flows across APIs and services.
Contribute to and help shape CI/CD pipelines and infrastructure-as-code practices for data workloads.
Collaborate with engineers, analysts, and business stakeholders in an agile environment.
Contribute to platform hygiene - Snowflake access control, cost monitoring, and resource management (~5% of your time).
What are we looking for?