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:

1. Work with the security team to define data standards, policies, and governance for the project.
2. Design and implement scalable, dependable, and secure data architecture solutions to address business needs for an integration fabric.
3. Collaborate with stakeholders to comprehend business requirements and translate them into technical specifications and data solutions.
4. Provide technical leadership and guidance to development teams throughout the project lifecycle.
5. Develop and maintain data models, data flow diagrams, and data integration workflows.
6. Ensure adherence to data quality, data governance, and data security best practises.
7. Evaluate and recommend data technologies, tools, and methodologies to enhance data management processes.
8. Work in close collaboration with Data Engineers, Data Scientists, and other IT professionals to implement data solutions.
9. Stay abreast of industry trends and best practises in data architecture and solution design.
10. Conduct performance tuning and optimisation of data solutions.
11. Develop and deliver comprehensive technical documentation, including architecture diagrams, design documents, and user guides.
12. Provide training and support to end-users and team members on data solutions and best practises.

Qualifications

1. Bachelor's or master's degree in computer science, Information Technology, or a related field.
2. Proven experience as a Solution Architect with a focus on data architecture and data solutions.
3. Strong understanding of data warehousing, data lakes, and big data technologies.
4. Proficiency in data modelling, ETL processes, and data integration techniques.
5. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
6. Knowledge of database systems (e.g., SQL, NoSQL, Hadoop, Spark) and data analysis tools.
7. Experience with data governance, data quality, and data security best practises.
8. Excellent problem-solving skills and the ability to work independently and as part of a team.
9. Strong communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders.
10. Certifications in data architecture or related fields are a plus.

Preferred Skills

1. Experience with machine learning and artificial intelligence technologies.
2. Knowledge of data visualisation tools (e.g., Tableau, Power BI).
3. Familiarity with DevOps practises and tools.
4. Experience in industry-specific data solutions within the Rail, transport or construction industry.

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