Presales Solutions Architecture EMEA

Jobgether; United Kingdom; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology solutions provider is seeking a Presales Solutions Architect EMEA in the United Kingdom. The ideal candidate will have over 10 years of experience in solutions architecture, with expertise in data lakes, virtualization, and analytics. The role entails designing and implementing enterprise-level data solutions while collaborating with sales teams and clients. This position offers competitive salary, flexible work arrangements, and the chance to work with cutting-edge technologies. Travel up to 30% within the EMEA region is required.

Benefits

Competitive salary

Paid time off

Flexible work arrangements

Professional development opportunities

Health and wellness programmes

Qualifications

• 10+ years of experience in presales or solutions architecture, preferably in large enterprise environments.
• Deep understanding of data lakes, data virtualization, and data mesh.
• Ability to travel at least 30% within the EMEA region.

Responsibilities

• Collaborate with sales teams to present technical solutions.
• Design and architect end-to-end data solutions.
• Lead proof-of-concept implementations.

Skills

Presales or solutions architecture experience

Knowledge of databases

Understanding of data architecture principles

Proficiency in SQL and data modelling

Strong presentation skills

Tools

Kubernetes

Spark

Hadoop

Hive

Tableau

PowerBI

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Presales Solutions Architect EMEA in United Kingdom.

We are seeking a technically skilled and client-focused Presales Solutions Architect to drive innovative data solutions across the EMEA region. This role involves partnering with sales teams and clients to design, present, and implement enterprise-level data architectures, leveraging cutting‑edge technologies. The successful candidate will have a deep understanding of data lakes, data virtualization, and analytics, and will act as a trusted advisor to technical and business stakeholders. The position requires someone who thrives in fast‑paced, complex environments, can manage multiple priorities across geographies, and has excellent communication skills for both technical and executive audiences. Travel across the region will be required to engage with key clients and prospects.

Accountabilities

• Collaborate with sales teams and clients to present solutions, address technical questions, and support the sales process.
• Design and architect end-to-end data solutions, including data virtualization, query optimization, and unified data access.
• Lead proof‑of‑concept (POC) implementations, ensuring performance, scalability, and security requirements are met.
• Serve as the primary technical interface with clients, providing expert guidance and recommendations on data strategies.
• Build and maintain strong client relationships, driving adoption of new features and expanding solution usage.
• Work cross‑functionally with engineering and product teams to resolve critical technical challenges and optimise solutions.

Requirements

• 10+ years of experience in presales or solutions architecture, preferably in large enterprise environments.
• Strong knowledge of databases, including MPP analytic databases and data warehousing concepts.
• Deep understanding of data architecture principles, including data lakes, data virtualization, and data mesh.
• Proficiency with Linux environments and experience installing, debugging, and integrating applications.
• Expertise in SQL, data modelling, query optimisation, and big data frameworks (Kubernetes, Spark, Hadoop, Hive).
• Familiarity with data storage technologies such as HDFS, S3, Azure Data Lake, and relational databases.
• Knowledge of ETL/ELT processes, data ingestion, transformation, and data visualisation tools (Tableau, PowerBI).
• Strong presentation skills and the ability to communicate technical concepts to technical and non‑technical audiences.
• Ability to travel at least 30% within the EMEA region.

Benefits

• Competitive salary and performance‑based incentives.
• Paid time off, including vacation and holidays.
• Flexible work arrangements with remote working options.
• Professional development opportunities and access to learning resources.
• Health and wellness programmes.
• Opportunity to work with cutting‑edge data technologies in a collaborative environment.

Thank you for your interest!