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Data Architect

πŸ•’ January 27

🏒🏑 London – Hybrid

⏰ Full Time

🟑 Mid-level

🟠 Senior

🚰 Data Engineer

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Logo of Solirius Consulting

Solirius Consulting

WebsiteLinkedIn

51 - 200 employees

We are an independent software and technology consultancy who pride ourselves on our ability to deliver complex technology solutions for our clients. We focus on understanding our client’s business and work with them to deliver change that makes their business more effective. Our multidisciplinary teams are made up of delivery experts, technology and software experts and user experience experts who have the drive, talent and creativity to take strategies from inception all the way through to business adoption.

πŸ“‹ Description

β€’ **The Role: ** β€’ We are looking for experienced Data Architects to work on our projects with our public sector clients, helping to deliver Solirius’ services to the highest standard. β€’ The role will involve working with multiple business and technical stakeholders, helping them to design data solutions and architectures which will then be implemented by the delivery teams. β€’ As a Data Architect, you will be expected to operate with a high degree of autonomy, using your experience and judgement to resolve complex data and architectural challenges in alignment with client needs. You will proactively manage escalations and take ownership of delivering effective, scalable, and secure data solutions. β€’ Successful candidates will also be expected to take an active role in practice development: developing new data services to help with Solirius’ business development – creating and updating data architecture artefacts, liaising with other Solirius practices to maintain practice profile and contributing to the development of more junior practice members. β€’ In addition to technical leadership, you will play a key role in identifying and shaping new business opportunities, working closely with stakeholders across client organisations to understand strategic objectives and deliver value-driven, data-led outcomes. β€’ You must be a strong and confident communicator, capable of influencing both technical and non-technical audiences. You will lead and mentor technical teams, build consensus across diverse stakeholder groups, and foster collaborative, cross-functional working environments. β€’ Your role will require innovative thinking, applying best practices and emerging data technologies to solve complex business problems in creative and pragmatic ways.

🎯 Requirements

β€’ **Key Responsibilities:** β€’ - Design end-to-end data architectures that meet business, technical, and security requirements. β€’ - Translate business and analytical requirements into scalable, secure, and cost-effective data platforms. β€’ - Ensure alignment with enterprise data architecture, data strategy, and governance standards. β€’ - Lead data architecture reviews and technical design workshops with stakeholders and delivery teams. β€’ - Support Agile delivery teams, defining MVP data architecture and providing ongoing technical direction. β€’ - Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. β€’ - Define data models, data flows, metadata standards, and integration patterns. β€’ - Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. β€’ - Ensure data security, privacy, compliance, and risk management are embedded in the solution. β€’ - Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts. β€’ **Key Experience:** β€’ - Extensive experience in stakeholder engagement and senior-level communication, including C-suite. β€’ - Proven experience in client-facing and/or consultancy environments. β€’ - Demonstrated ability to translate complex business and analytical requirements into scalable and resilient data architectures. β€’ - Strong track record in designing and delivering end-to-end data platforms in enterprise settings. β€’ - Expertise in conceptual, logical, and physical data modelling. β€’ - Deep understanding of data platforms, data integration, and analytics architectures. β€’ - Ability to design solutions that meet both functional and non-functional requirements, including performance, scalability, security, and compliance. β€’ - Broad experience with data governance, data quality, master data management, and regulatory requirements. β€’ **Key Skills:** β€’ - Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). β€’ - Strong experience with data warehousing, data lakes, and lakehouse architectures. β€’ - Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. β€’ - ETL/ELT design and data pipeline orchestration. β€’ - Streaming and event-driven data architectures. β€’ - Agile and DevOps delivery methodologies applied to data platforms (DataOps). β€’ - Expertise in data architecture and modelling (conceptual, logical, and physical). β€’ - Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service mesh).

πŸ–οΈ Benefits

β€’ **What We Offer: ** β€’ - Competitive Salary β€’ - 25 Days Annual Leave + Bank Holidays β€’ - Flexibility to work from home β€’ - 10 days allocated for development training per year β€’ - Generous Discretionary Bonus β€’ - Statutory & Contributory Pension β€’ - Private Healthcare Cover β€’ - Discounted Gym Membership β€’ - Enhanced Parental Leave β€’ - Paid Fertility Leave β€’ - Cycle to Work and Electric Vehicle schemes β€’ - Access to Employee Assistance Programme (EAP) β€’ - Annual Away Days β€’ - Monthly Company Socials

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