https://bayt.page.link/YkzM8hg4amJv3YVQ7
العودة إلى نتائج البحث‎

Senior Data Architect/ Lead Consultant Specialist

قبل 10 أيام 2025/07/18
خدمات الدعم التجاري الأخرى
أنشئ تنبيهًا وظيفيًا للوظائف المشابهة

الوصف الوظيفي

Some careers shine brighter than others.


If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.


HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.


We are currently seeking an experienced professional to join our team in the role of Lead Consultant Specialist


In this role, you will:


  • As a Senior Data Architect, you will play a critical role in designing robust, scalable data architectures that power business intelligence and analytics across the cyber security landscape, using Databricks Unity catalog and Power BI.
  • You will be pivotal in developing data models that meet the reporting and analytical needs of the cyber team while assisting BI engineers in utilizing these models effectively within the Power BI reporting platform.
  • You will work closely with the BI team to optimize the use of the data models, ensuring they are efficient and scalable. Additionally, you will provide oversight to Power BI administration to enforce best practices and governance.
  • You will lead the design of data models, implement best practices for data governance, and help set standards for data pipelines and reporting solutions, ensuring seamless integration with reporting tools.
  • This is a hands-on role that will challenge your technical skills while providing you the opportunity to lead key initiatives. You will collaborate with data model consumers and work alongside data engineers, data scientists, and business intelligence teams to ensure the data infrastructure aligns with the consumers’ needs.

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