Architect jobs in United Kingdom
Senior Architect & Expert Witness Lead (Forensics & Advisory)
Rimkus
M365 & SharePoint Architect — AI-Driven Migration Leader
Version 1
Discover more opportunities than anywhere else. Find more jobs nowAssociate Director – Architect (Expert and Advisory Services)
Rimkus
Lead Systems Architect - Cloud, Integration & Solutions
Cubic
Marketing Cloud Solutions Architect – Hybrid
Paysafe
Connect with headhunters to apply for similar jobsVirtualisation and Storage Infrastructure Architect
Version 1
Healthcare Enterprise Architect — Secondary Care (Hybrid)
Bupa
End-to-End Solution Architect — Technical Design Lead
BOOTS
Payments Architect – Issuing platform in London
www.cardandpaymentjobs.com
Payments Architect - fully remote - must have Cards OR Real time payments OR APIs in London
www.cardandpaymentjobs.com
Senior Software Architect & Tech Leader
Anaplan
London-Based Sponsorship Sales Architect for Conferences
CFO Insights
Senior CCaaS Solutions Architect - Hybrid/Remote
Zendesk
Data Architect
Job summary
A leading enterprise SaaS provider in the UK is seeking a Data Architect to innovate, design, and build scalable data pipelines for enterprise clients. You will work with massive datasets and ensure data integrity while providing actionable business intelligence. The ideal candidate has over 7 years of experience with cloud technologies (AWS) and hands-on proficiency in SQL, Python, and data processing. This role comes with opportunities to lead big data challenges, delivering insights to Fortune 100 users.
Qualifications
- 7+ years of experience working with massive data.
- Hands-on experience with SQL, Python, Spark, Kafka.
- Proficiency in ETL process is mandatory.
Responsibilities
- Design, build and automate scalable solutions for massive data sets.
- Lead big data challenges in an agile way.
- Deliver insightful analytics while ensuring the highest standard of data integrity.
Skills
Education
- Bachelor's or Master’s degree in Computer Science, Mathematics or similar field (PhDs will be given preference)
- 7+ years of experience working with massive data
- Strong knowledge of public cloud (AWS)
- Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization
- Proficiency in ETL process is mandatory
- Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)
- Hands-on experience with SQL, Python, Spark, Kafka
- Excellent communication skills, including a good working proficiency in verbal and written English
Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain robust and reliable data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities. This actionable business intelligence is provided in real time to our Fortune 100 users from data engineers, to analysts and C-Level stakeholders. As a Data Architect, you'll innovate, design, build and automate, scalable solutions, massive data sets and bring software engineering experience to the complex process of data processing and data pipeline development. You will lead big data challenges in an agile way and build data models to deliver insightful analytics while ensuring the highest standard of data integrity.
Scopeworker is an enterprise SaaS. It automates the Procure-Execute-Pay lifecycle of complex supplier services. This enables an 'Uber' style marketplace for enterprise and a live business intelligence that is truly unique. Scopeworker can be used as a standalone platform or as a digitalization layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker is used by the Fortune 100. See also our explainer video.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.