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Data Solution Architect

3 months ago

London, UK, United Kingdom Eames Consulting Full time

We are working with a world leading Asset Management firm that are looking for a highly experienced Data Solution Architect to support their global data transformation project.


In this role, you will leverage your expertise in data platforms and data modeling to support the design, implementation, and optimisation of our data solutions. You will play a critical role in managing the integration and quality of data entering our platform, ensuring the delivery of reliable information.


The ideal candidate will have in-depth experience of Snowflake and will be responsible as the main POC for several internal and external executive stakeholders to support their global transformation.


Key Responsibilities:


  • Serve as a key member of the Data Services team, focusing on a Data Platform and Snowflake.
  • Liaise with senior stakeholders to understand business requirements and provide data solutions that meet their needs.
  • Participate in pre-sales activities, including client presentations and proposal development.
  • Develop and refine target operating models to enhance data service delivery.
  • Support the implementation of data solutions for clients and manage the integration of new data sources into the platform.
  • Ensure the quality and accuracy of data entering the platform through rigorous checks and validation.
  • Collaborate with other teams to deliver comprehensive data services that wrap around the data platform.


Qualifications:


  • Experience working as a Data Solution Architect within Asset management
  • Strong background in data platforms and data modeling.
  • Hands on experience with Snowflake and other Data platforms would be a bonus.
  • Proven experience in managing data integrations and ensuring data quality.
  • Ability to communicate effectively with senior stakeholders and participate in pre-sales activities.
  • Experience with SQL Server and/or data mesh environments is highly desirable.