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Senior Data Architect

Summary

Designs and builds cloud-based data platforms using Databricks, Snowflake, and AWS/GCP for a fintech company.

Salary: £53,000 - 82,000 per year

Requirements:
  • Enterprise data architecture experience.
  • Experience with Databricks.
  • Experience with Snowflake.
  • Experience with AWS and/or GCP.
  • Experience designing modern cloud data platforms.
  • Experience with data lakes, data warehouses, and lakehouse architectures.
  • Knowledge of data governance, security, and architecture best practices.
  • Experience with AI, machine learning, or data science platforms is highly desirable.
  • Experience in banking, financial services, or other highly regulated industries is preferred.
Responsibilities:
  • Design and architect enterprise-scale cloud data platforms.
  • Define data architecture strategies, standards, and governance.
  • Deliver modern data solutions using Databricks, Snowflake, AWS, and GCP.
  • Enable advanced analytics, AI, and machine learning capabilities.
  • Work closely with engineering, data, and business teams to deliver end-to-end solutions.
  • Provide technical leadership throughout the project lifecycle.
  • Ensure solutions are secure, scalable, and aligned with business objectives.
Technologies:
  • AI
  • AWS
  • Architect
  • Cloud
  • Databricks
  • GCP
  • Support
  • Machine Learning
  • Security
  • Snowflake

More:

We are a leading global organisation investing heavily in cloud, data, and AI transformation. This is a permanent Senior Data Architect role based in our London Paddington office, with 2/3 days per week onsite. The salary is £100-115k plus bonus. We are building enterprise-scale data platforms that support advanced analytics, machine learning, and AI solutions, and this role offers the opportunity to shape data strategy and architecture while working with modern cloud technologies. Please note that sponsorship is not available.

last updated 33 week of 2026

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