Lead Solutions Architect – Data & AI Platforms (Hybrid Glasgow)

Meraki Talent Ltd; Glasgow; Hybrid; GBP 90,000 - 100,000; Full time

Job summary

A global financial client is seeking a Lead Data Solutions Architect to join their newly formed team in Glasgow. This hybrid role (3 days in the office) offers a salary of £90k-£100k, plus bonus and benefits. The successful candidate will lead the design and development of data solutions, working with stakeholders to deliver innovative products across Data Modernisation, Data Service, and AI & ML analytics. Strong experience in cloud architecture and a breadth of tools like Kafka and Snowflake is required.

Benefits

Bonus

Benefits

Qualifications

• Proven experience in designing, securing, and scaling data platforms.
• Experience with Data Modernisation, Data Service, or AI & ML analytics.
• Understanding of public cloud architectures like AWS or Azure.
• Experience leading transformation projects.
• Familiarity with tools such as Kafka, Snowflake, and Databricks.

Responsibilities

• Lead the design and development of data solutions.
• Collaborate with stakeholders to understand business needs.
• Implement solutions across Data Modernisation, Data Service, and AI & ML analytics.
• Lead a small team of engineers across project deliverables.

Skills

Experience designing, securing, and scaling data platforms

Experience in Data Modernisation, Data Service, or AI & ML analytics

Understanding of cloud architecture and microservices

Public Cloud experience in AWS or Azure

Experience leading transformation or migration projects

Tools

Kafka

Snowflake

Databricks

MongoDB

Power BI

Job description

A global financial client is seeking a Lead Data Solutions Architect to join their newly formed team in Glasgow. This hybrid role (3 days in the office) offers a salary of £90k-£100k, plus bonus and benefits. The successful candidate will lead the design and development of data solutions, working with stakeholders to deliver innovative products across Data Modernisation, Data Service, and AI & ML analytics. Strong experience in cloud architecture and a breadth of tools like Kafka and Snowflake is required.