Your mission will be:

📍Leading the technological choices, tools and business processes used to ensure consistent data and high data quality across all workflows 📍Working with Product management, Data Science and Business Analysts to identify core Data Products, and designing the data flows necessary to create them. 📍Defining and implementing the strategy around data governance, data privacy & security 📍Collaboration with the Data Engineering Manager, Data Engineers, Data Scientists, Product Managers, Business partners and cross-Fleet Architecture. 📍Defining, developing, implementing and evolving the data model for all business domains, ensuring alignment across the group. 📍Contributing to the overall data platform strategy, road-mapping, data product delivery, information security and compliance 📍Championing and contributing to our creation and maintenance of a data catalogue and a ubiquitous language that we can use to rationalise our use of data across the business. 📍Identify areas of innovation in data tools and techniques, and recognise appropriate timing for adoption 📍Mentoring and developing the team of data engineers and the larger engineering team on best data practices.

A little about you:

📍5+ years experience in a similar role 📍Experience as a Data Architect within a regulated environment (eg gambling, finance, crypto, health, public companies) 📍Deep understanding of data models, standards and tools used across architecture, and engineering. 📍Experience working within strategy and product development teams to support global data projects. 📍Demonstrated understanding of data governance and data policy for an enterprise environment 📍Understanding of Metadata Management, able to design and maintain metadata repos to enable Luno to understand our data assets. 📍Experience building solutions within a cloud environment (ideally AWS) 📍Experience with Databricks would be awesome 📍Experience working with Apache Spark 📍Strong skillsets in the core competencies of a data architect: systems development (lifecycle management including testing; predictive analytics; data visualisation), global data management (systems and interfaces; standards; roadmaps)