Data Architect

Job Description

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role.

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As a Data Solution Architect (Manager) in Kainos, you’ll be responsible for a multi- skilled agile teams to design and deliver contemporary data solutions. You will be a quality orientated pragmatist, where you balance trade-offs to successfully deliver complex solutions. You will be viewed as an authority figure for data technology solutions, providing strong technical and thought leadership.

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Your responsibilities will include:

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• Successfully implementing functional and non-functional designs
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• Working closely with Ops and Infrastructure architects to productionise robust, resilient, and maintainable data solutions
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• Working closely with customer architects to agree functional and non-functional designs. Advising, questioning, informing, and helping the customer in making sound solution design outcomes.
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• Working with your peers to develop policy and standards, share knowledge and mentor those around you
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• Managing and estimating timelines underpinning solution delivery
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• Owning technical solution design as part of a pre-sales process
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• Making a significant contribution to the data community and wider data capability
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• Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction for your team as you solve problems together
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Minimum (essential) requirements:

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

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• Knowledge of wider Data Architecture concepts, for example Master Data Management, Masking, Data Governance, Provenance and Lineage
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• Experience of Technical Evaluation and product selection
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• Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation
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