2 of 2 Remote Data Architect Jobs in Scotland

Bristol, Cardiff, Edinburgh, London, Manchester Overview We are seeking to hire experienced Data Solution Architects in the Data & AI Architecture team of Deloitte's AI & Data offering. Data is the key enabler for the rapid growth journey across the Energy Resources & Industrials industries. Our team delivers transformational data solutions to our Energy Resources & Industrial clients … that benefit our clients, their customers and any relevant government agencies or regulators. The Energy Resources & Industrial industry is undergoing a significant transformation, driven by the increasing importance of data and analytics. Enterprises are turning to decentralised data management approaches such as Data Mesh and disruptive technologies to build innovative and domain-oriented data products. A … well-designed data solution architecture sits at the core of our clients' strategy to enable the effective deployment of advanced analytics and AI models. Our Data & AI Architecture team specializes in 'designing for data': how to source it, how to store it, how to structure it, how to transform it, and how to consume it for data More ❯

Data Architect £130,000 GBP Remote WORKING Type: Permanent Data Architect Up to £130,000 Bonus Location: Homeworker- UK Additional Locations: Belfast, Birmingham, London Type: Permanent A global leader in IT solutions in Consulting is seeking a Data Architect with experience across the UK Public sector to join their elite, fast growing Data practice & Intelligence practice. This is a key role in an award-winning Data & AI Team , using cutting-edge technology and industry -leading expertise to solve real-world problems. You'll drive driving SME data architecture strategies, in a client-facing leadership role with a focus on managing employee performance and team development. A successful Lead Data Architect will have: Experience across UK defence or Public sector. Deep knowledge of core architecture disciplines. Proven track record of technical leadership across data projects. Experience in product/technology selection at project or enterprise level. High proficiency in at least three mainstream data technologies. Excellent client engagement skills with both technical and non-technical stakeholders. More ❯