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# Big Data Architect

- **Company:** Keyrus
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Linux, Domain Name System (DNS), Apache Hadoop, Apache HBase, Kerberos (Protocol), MapR (Big Data), MongoDB, NoSQL, Cloudera, Apache Spark, Electronic Medical Records, Cassandra, Data Analytics, Data Management
- **Published:** September 4, 2026
- **Apply:** https://jobs.smartrecruiters.com/Keyrus/743999711953738-big-data-architect

## About the Role

Proven experience in consultative technical sales or professional services with a proven record of success

 * Commercial solution architecture experience in Big Data technologies e.g. Spark, Hadoop, EMR, MapR etc.
 * Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams.
 * Deep understanding of MPP & NoSQL databases
 * Hands on experience of working in Linux including Kerberos, Multihoming, DNS etc
 * Able to work on large scale and complex projects for customers in a variety of industries and UK wide.
 * Flexible to travel to the client site (Typically 2-4 days a week, remaining days remote)

## Description

We are looking for senior solutions architects with experience in big data ecosystem to work in a customer facing capacity. Our customers, who are on their journey to become a data-driven organisation often leverage Hadoop as a part of the overall architecture. As an architect, you will be the link between business, big data developers & data scientists. You will be able to interact with various stakeholders to understand their requirements and create an evolving solution architecture for customer's analytics platform in a consultative manner. There is a real emphasis on professional delivery as you will be working closely with stakeholders providing excellent delivery of service. Whilst working for a forward thinking company you are expected to have a real desire to learn and adapt to new technologies.

Some key technologies you can look forward to working with:

 * Hadoop ecosystem e.g. Cloudera, Hortonworks, Apache Spark etc.
 * NoSQL technologies e.g. Cassandra, HBase, MongoDB etc.
 * AWS Cloud Ecosystem