Azure Data Architect - Databricks - London

I'm currently working with a global organisation that are going through an awesome period of transformation.
As an company, they're very people centric and love the culture and environment that they've created not just in their UK offices but also, globally. Despite being geographically spread across the globe, they've maintained a great collaborative working environment which has helped the business achieve the successes that they've achieved.
They're recognised as an industry leader who have projects globally and have won some of the most exciting projects across the world.

For this role, they're looking for someone to come in and take ownership of the Data Architecture and strategy. They've recently implemented a Modern Data Platform along side Databricks so the successful applicant is expected to come in and help to further develop this by working closely with the vendors as well as the data team.

My client are looking for Azure Data / Databricks enthusiasts. They have adopted a hybrid working policy which helps them to ensure that the team are always working collaboratively. Equally, they have a high trust, high performance working policy which is all about getting the work done but also, provided successful applicants to manage their time to their liking.

Experience sought...

• Proven experience of leading Data Architecture and engineering initiatives
• Experience in Mesh / Medallion Architecture
• Experience of Azure Data Technologies such as Data Warehousing, Data Factory, Purview, Data Lake and Data bricks
• Experience in data modelling, database design, data integration and best practices
• Extensive experience with cloud-based data platforms and infrastructure such as Azure

This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for across the globe. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to (url removed) or alternatively, give me a call on (phone number removed).

Keywords: Azure, Databricks, Microsoft, Architecture, Data Engineering, Data Modelling, Master Data Management, Data Integration, Metadata Management, Analytics, Data Lake, Data Warehousing, Data Factory, Purview, Data Mesh, Medallion, Power BI, Python, London