Job Description: Solution Architect with Data Speciality Hybrid working 2 days in London or Birmingham per week depending on location Inside IR35 Rate £650.00 - £700.00 pd Position Overview The ideal candidate will possess a robust background in designing and implementing data solutions, an in-depth understanding of data architecture principles, and the ability to translate business requirements into technical specifications. This role demands exceptional critical thinking skills, a profound passion for data, and the ability to collaborate effectively with cross-functional teams. Responsibilities: • Work with the security team to define data standards, policies, and governance for the project. • Design and implement scalable, dependable, and secure data architecture solutions to address business needs for an integration fabric. • Collaborate with stakeholders to comprehend business requirements and translate them into technical specifications and data solutions. • Provide technical leadership and guidance to development teams throughout the project lifecycle. • Develop and maintain data models, data flow diagrams, and data integration workflows. • Ensure adherence to data quality, data governance, and data security best practises. • Evaluate and recommend data technologies, tools, and methodologies to enhance data management processes. • Work in close collaboration with Data Engineers, Data Scientists, and other IT professionals to implement data solutions. • Stay abreast of industry trends and best practises in data architecture and solution design. • Conduct performance tuning and optimisation of data solutions. • Develop and deliver comprehensive technical documentation, including architecture diagrams, design documents, and user guides. • Provide training and support to end-users and team members on data solutions and best practises. Qualifications • Bachelor’s or master’s degree in computer science, Information Technology, or a related field. • Proven experience as a Solution Architect with a focus on data architecture and data solutions. • Strong understanding of data warehousing, data lakes, and big data technologies. • Proficiency in data modelling, ETL processes, and data integration techniques. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. • Knowledge of database systems (e.g., SQL, NoSQL, Hadoop, Spark) and data analysis tools. • Experience with data governance, data quality, and data security best practises. • Excellent problem-solving skills and the ability to work independently and as part of a team. • Strong communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. • Certifications in data architecture or related fields are a plus. Preferred Skills • Experience with machine learning and artificial intelligence technologies. • Knowledge of data visualisation tools (e.g., Tableau, Power BI). • Familiarity with DevOps practises and tools. • Experience in industry-specific data solutions within the Rail, transport or construction industry