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
