Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 45 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organisations dream bigger, move faster, and build better tomorrows for all. We’re honoured to be consistently recognised as a great place to work by Glassdoor and being one of Fortune’s 100 Best Companies to Work For seven years running.
Since opening our doors in London in 2014, and then the launch of our Manchester office in 2019, it’s been an unforgettable journey. What’s more, we’re at an exciting stage of our growth in the UK, and now Ireland, with our first office launching in Dublin this year and we’re looking for great people who want to be part of that adventure. Our employees are at the heart of delivering impactful and meaningful work for our clients and helping them to reach for and realise their vision.
Snowflake Data Architect
Slalom is seeking an experienced Snowflake Data Architect to contribute to its growing Data Capability. The ideal candidate is a professional with experience in designing, developing, validating and communicating enterprise data solutions using Snowflake. Deep experience in developing enterprise data management strategies including data lake/warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery.
What will you do?
Requirements:
Take a look at the role above and if something sparks your interest, apply!
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.