Data Platform Architect: Lakehouse, Cloud & Governance

Data Platform Architect: Lakehouse, Cloud & Governance

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
M&G

At a Glance

  • Tasks: Design scalable data solutions for reporting and analytics while collaborating with diverse teams.
  • Company: Join M&G, a leader in the financial services industry with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values creativity and excellence.
  • Why this job: Shape the future of data architecture and make a significant impact on business outcomes.
  • Qualifications: Experience in data architecture and strong collaboration skills are essential.

The predicted salary is between 72000 - 88000 Β£ per year.

M&G seeks a Data Platform Solution Architect to translate business outcomes into scalable data designs for reporting, MI, analytics and operations. You will collaborate with Product Owners, Engineers, Security and business stakeholders to ensure high-quality delivery aligned with enterprise standards.

The role focuses on shape of design options, target-state patterns and design assurance, across ingestion, storage, semantic layers and integration, embedding governance and ensuring resilient.

Data Platform Architect: Lakehouse, Cloud & Governance employer: M&G

M&G is an excellent employer, offering a dynamic work culture that values diversity and inclusion while fostering collaboration across geographically distributed teams. With a strong focus on employee growth and development, the company provides ample opportunities for professional advancement in the vibrant city of Edinburgh, making it an ideal place for those seeking meaningful and rewarding employment in technology delivery.

M&G

Contact Details:

M&G Recruitment Team

We think you need these skills to ace Data Platform Architect: Lakehouse, Cloud & Governance

SQL
Problem-Solving Skills
Communication Skills
Data Governance
Data Engineering
Python
Data Pipeline Development