Jobs

Data Architect


Job details
  • City of London
  • 1 week ago
Applications closed

Data Architect - London - AWS - 100,000 + Benefits

Company Overview:

You will be working within global company who boast offices across the world - from London to Johannesburg, Singapore to the US + many more in between! This multinational consultancy provide Data & AI solutions to transform client business and drive growth in a range of different industries. The organisation celebrates successes with a positive and supportive working culture - and you will realise this first hand as this organisation take the well being of their employees very seriously, understanding that work-life balance is critical to performance and moral.

This is an exciting opportunity to gain a range of different project experience while working alongside some of the most talented data experts in the industry. The opportunities for personal and professional growth here and immeasurable!

Role Overview:

As a Data Architect you will design and manage the organisations data architecture using AWS and Snowflake, aligning it with business goals. You will oversee data integration, develop data models, and ensure optimal performance and security of data systems. Collaboration with data engineers, analysts, and other stakeholders is essential to meet their needs.

This role requires strong knowledge of AWS services and Snowflake, experience with data warehousing, ETL processes, and data modelling. Excellent communication and problem-solving skills are necessary to articulate technical concepts and troubleshoot data-related issues effectively.

Hands-on technical guidance is crucial, even though the Data Architect will not be directly involved in development. Practical experience with SQL, data integration tools, and performance tuning is necessary to support the technical team and drive data initiatives forward.

Requirements:

Strong Data Architecture Experience, ideally in a range of industries
Experience Working with AWS services and Snowflake
Excellent Data Modelling
Good Technical and Non-Technical Stakeholder Communication
Previous Hands-On Development Experience

Interviews are already underway with limited slots remaining, don't miss out on your opportunity to secure this amazing role!

Get in touch by contacting me at or on (phone number removed)!

AWS, Data, Python, SQL, Redshift, S3, Snowflake, Databricks, Data Engineer, Engineering, London, ETL, Ingestion, Glue, Lambda

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