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Solutions Architect- Data, Integration, BPSS

Hays Technology
Posted a day ago, valid for 23 days
Location

London, Greater London SW1A2DX, England

Salary

£65,000 - £78,000 per annum

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Contract type

Full Time

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Sonic Summary

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  • The position is for a Solutions Architect specializing in Data and Integration, particularly with MuleSoft and Boomi, for a major IT consultancy firm in London.
  • The role offers a salary of up to £690 per day and requires candidates to work on-site 1 to 2 days a week.
  • Candidates should have demonstrable experience as a Solutions Architect with a strong understanding of data warehousing, data lakes, and big data technologies.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, as well as knowledge of database systems and data governance practices, is essential.
  • The initial contract duration is 3 months, and experience in the construction, transport, or rail industries, as well as familiarity with data visualization tools, is a plus.

Solutions Architect- Data, Integration, BPSS
Up to 690 per day (Inside IR35 - Umbrella)
Hybrid / London (1-2 days a week onsite)

3 months initially

My client is a major IT consultancy firm, based in London, who are currently looking for a Solution Architect specialising in Data with a focus on Integration ( MuleSoft / Boomi) . This role will require someone with ability to go on-site 1 to 2 days a week.

Key Requirements:

  • Demonstrable experience working as a Solution Architect, with integration focus (ideally MuleSoft and Boomi)
  • Strong understanding of Data warehousing, Data lakes, and big Data technologies.
  • Proficiency in Data modelling, ETL processes, and Data integration techniques.
  • In-depth understanding of Data Architecture.
  • Experience with Data governance, Data quality, and Data security best practices.
  • Ability to develop and maintain Data models, Data flow diagrams, and Data integration workflows.
  • 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.

Nice to have:

  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Construction, Transport or Rail industry experience
  • Experience with machine learning and artificial intelligence technologies.

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