Data Solution Architect

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August 14

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Kainos

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

1001 - 5000 employees

💰 Venture Round on 1986-04

📋 Description

• Lead multi-skilled agile teams to design and deliver contemporary data solutions • Be a quality-oriented pragmatist balancing trade-offs to deliver complex solutions • Provide strong technical and thought leadership for data technology solutions • Produce robust, maintainable data solutions in collaboration with Ops, Infrastructure, and customer architects • Advise and mentor customers to achieve sound solution designs • Develop policy and standards, share knowledge, and mentor staff • Manage timelines and underpin delivery of solutions • Own technical solution design as part of pre-sales • Contribute to the data community and wider data capability • Coach and develop team members and performance • Provide direction for your team as you solve problems together

🎯 Requirements

• Experience of leading multiple teams as the data solution architect, with ownership of a system of systems • Experience in designing, building and productionising modern data-intensive applications including orchestration and operation • Broad knowledge of the full spectrum of data technologies (data ingestion, transformation, storage, presentation, consumption) being able to integrate these into successful solutions • Strategic design thinking experience, including problem conceptualisation, approach and roadmap definition, architecture realisation and risk management • Comfortable with traditional and contemporary data warehousing concepts • Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. • Comfortable in one or more of Java, Scala, or Python with the ability to be ‘hands on’ when required • We are passionate about developing people – a demonstrated ability in managing, coaching and developing members of your team and wider community. • Desirable: • Knowledge of wider Data Architecture concepts, for example Master Data Management, Masking, Data Governance, Provenance and Lineage • Experience of Technical Evaluation and product selection • Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation