Luno is a leading global digital currency company with a team of over 40 technology and finance experts, operating across several countries and continents. Our products and services make it safe and easy for people and businesses to store, buy, use and learn about digital currencies like Bitcoin. Our vision is to empower billions of people by bringing Bitcoi...
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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)
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