Data Solutions Architect - AWS - 110,000 - Hybrid - London

Company Overview:

My client is a trusted partner for major clients across a range of data-driven industries such as banking, insurance, health-care, retail, and more! With a global presence spanning continents and tens of thousands of professionals, there is no better place to grow and advance your career. Due to their commitment and motivation to stay at the top of their industry, there is constant investment in research and development to stay ahead of trends by working with the most cutting-edge technology. My client believes their success stems from the calibre of people they employ and will do everything to support you and your development.

Role Overview:

As a Data Solution Architect, you will be an integral part of a dynamic team of architects. You will leverage your hands-on experience in engineering tasks to architect and implement cutting-edge data solutions. Your expertise in SQL, APIs, and a range of cloud technologies will be crucial as you model data and design solution to address complex client needs.

In this client-facing role, you will lead projects, acting as the technical and engagement lead. You will collaborate closely with offshore teams and Business Analysts to ensure seamless project execution. Your ability to handle diverse data conversations and solve data-related issues will be key to driving success. This is an exciting opportunity to work with a global team, stay ahead of industry trends, and make a significant impact with your technical leadership and innovative solutions.

Requirements:

• Strong Data Architectural experience
• Strong experience with AWS
• Experience with Real-Time data ingestion
• Data Modelling experience
• Non-technical stakeholder management experience

Nice to Have:

• Experience with Snowflake, Databricks and BigQuery
• Strong, recent hands-on experience

Interviews ongoing don't miss your chance to secure the future of your career!

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Data Architect, Solutions Architect, AWS, Data Modelling, Model, Cloud, Snowflake, Databricks