Presales Solutions Architecture EMEA

Dremio Corporation provides an open data lakehouse platform that enables self-service analytics with data warehouse functionality and data lake flexibility, built on open source technologies like Apache Iceberg and Apache Arrow.

Dremio

Employee count: 201-500

United Kingdom only

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Be Part of Building the Future: We're looking for a Presales Solutions Architect to work with the technical community in the EMEA region to innovate and develop technical strategies and solutions supporting a common outcome. The ideal candidate will have 10+ years experience in large enterprise as a Sales Engineer/Presales Solutions Architect and a strong understanding of data architecture concepts, including data lakes, data virtualization, and data mesh principles.

Requirements

10+ years experience with the majority of experience in large enterprise as a Sales Engineer/Presales Solutions Architect
Knowledge of Databases, specifically MPP analytic databases and data warehousing concepts
Strong understanding of data architecture concepts, including data lakes, data virtualization, and data mesh principles
Working knowledge of Linux, comfortable installing, debugging and integrating applications on Linux platform
Strong experience and expertise in SQL queries, syntax, data modeling and optimization
Knowledge of various data storage technologies, such as HDFS, Amazon S3, Azure Data Lake Storage, and relational databases
Experience with data integration techniques, including ETL/ELT processes, data ingestion, and data transformation
Familiarity with big data processing frameworks like Kubernetes, Apache Spark, Hadoop MapReduce, and Hive
Ability to perform performance tuning and optimization of Dremio queries and workflows
Experience with data visualization tools (e.g., Tableau, PowerBI) and understanding of data visualization best practices
Knowledge of data security and privacy best practices, including authentication, authorization, and data encryption
Great presentation skills with the ability to speak in front of audiences
Ability to travel at least 30% of the time
Strong problem-solving skills and ability to design and implement solutions to complex data challenges
Ability to design and lead the implementation of large-scale, enterprise-level data architectures
Ability to articulate technical concepts and solutions to both technical and non-technical audiences
Effective in building strong relationships with customers, partners, and internal stakeholders

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About the job

Apply before

Feb 02, 2026

Posted on

Dec 04, 2025

Job type

Full Time

Experience level

Senior

Manager

Location requirements

United Kingdom

Hiring timezones

United Kingdom +/- 0 hours

About Dremio

Learn more about Dremio and their company culture.

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Dremio Corporation is a software company that provides an open and easy-to-use data lakehouse platform. Founded in 2015 by Tomer Shiran and Jacques Nadeau, Dremio aims to revolutionize data analytics by delivering data warehouse functionality with data lake flexibility. The company is headquartered in Santa Clara, California, and serves hundreds of global enterprises, including prominent names like Maersk, Amazon, Regeneron, NetApp, S&P Global, Shell, TD Bank, Michelin, and Farmer's Insurance. Dremio's platform empowers organizations to run mission-critical business intelligence (BI) and data science workloads directly on their data lake storage, such as Amazon S3 and Azure Data Lake Storage (ADLS).

Dremio's core technology is built upon open source standards, including Apache Iceberg and Apache Arrow, of which Dremio was a co-creator. This open architecture is designed to provide platform flexibility, prevent vendor lock-in, and enable community-driven innovation. The Dremio Unified Lakehouse Platform simplifies data architectures by eliminating the need for complex ETL (Extract, Transform, Load) processes and data movement to proprietary data warehouses. It offers a self-service semantic layer, allowing data consumers to easily discover, curate, and analyze data using their preferred tools like SQL, Python, R, Tableau, and Power BI. Key capabilities of the platform include a high-performance SQL query engine, data virtualization, data mesh enablement, and support for AI and machine learning initiatives. Dremio's solutions cater to various use cases, such as data warehouse migration, unified data access, and Hadoop migration. The company emphasizes accelerating time to insight, improving data team productivity, and reducing infrastructure costs for its customers. Dremio has introduced innovative features like generative AI capabilities for streamlined data discovery and analysis, a hybrid data catalog for Apache Iceberg, and Autonomous Reflections for sub-second query performance.

Tech stack

Learn about the tools and technologies that Dremio uses to build, market, and sell its products.

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Python

Java

SQL

Apache Arrow

styled-components

Google Workspace

Jekyll

WorkRamp

Apache Iceberg

Dremio employees can create an account to update this tech stack.

Employee benefits

Learn about the employee benefits and perks provided at Dremio.

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Provident Fund

Provident Fund benefit.

Unlimited vacation

Unlimited vacation policy.

Group term life insurance

Group term life insurance.

Employee Gratuity Benefits

Employee Gratuity Benefits.

View Dremio's employee benefits

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