Data Architect
Quick Overview
Job Description
hackajob is collaborating with Kainos to connect them with exceptional professionals for this role.
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.
Your responsibilities will include:
- Successfully implementing functional and non-functional designs
- Working closely with Ops and Infrastructure architects to productionise robust, resilient, and maintainable data solutions
- 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.
- Working with your peers to develop policy and standards, share knowledge and mentor those around you
- Managing and estimating timelines underpinning solution delivery
- Owning technical solution design as part of a pre-sales process
- Making a significant contribution to the data community and wider data capability
- 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
Minimum (essential) 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
Skills
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