Technical Architect

🕒 November 4, 2025

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Kainos

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💰 Venture Round on 1986-04

At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier.

📋 Description

• Designing and delivering technical components as part of a larger data solution • Working closely with Solution Architects and Customer Architects to integrate these components into quality data solutions. • Successfully implementing functional and non-functional designs • Setting technical standards and works with engineers to ensure standards are upheld • Managing and estimating timelines underpinning technical component delivery • Contributing or owning technical solution design as part of a pre-sales process • Making a significant contribution to the data analysis community and wider data and analytics capability • Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. • Providing direction and leadership for the team as you solve challenging problems together

🎯 Requirements

• Experience of technical ownership for a component, sub-system or product (data ingestion, data streaming), including architecture, estimation, product planning and story creation • Proficient in client interaction including communication of technical decisions to non-technical audiences • Experience of applying standards for design (patterns), development (style guides), and operational readiness (automation, deployment) • Experience of designing, building and productionising modern, distributed data intensive applications • Experienced in Java, Scala or Python and comfortable with multiple programming paradigms (functional, OO) • Experience of deploying contemporary data stores such as object stores, document stores, key-value store, search, RDBMS, graph. • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks • Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities