Data Platform & Data Clean Room Specialist (Part-time)
10 - 15 hours per week
We are actively seeking highly skilled and experienced Data Experts with a strong background in building robust data platforms and a proven record in customer consultancy. This is a prime opportunity for independent professionals to collaborate with our team in a post-sales capacity, guiding customers on their data journey with Snowflake – a platform rapidly becoming central to companies of all sizes.
This role will immerse you in some of the most challenging and innovative data projects available. We are particularly interested in candidates with proven, significant experience with Data Clean Rooms (DCRs), as this expertise is very important for our current and future engagements.
Our Client:
Implementing the Snowflake Data Cloud which was built from the ground up for the modern cloud, enabling seamless scalability from empowering small start-ups to the largest enterprises globally. Their mission is to mobilize the world’s data, empowering businesses to be truly data-driven. Our client has achieved tremendous success implementing Snowflake's platform and continue to grow rapidly across Europe and worldwide. This dynamic environment means we are constantly adapting our methodologies, and your expert input will be highly valued, offering you the chance to make a significant impact.
Our client partners with customers to create solutions that shape their businesses. Once customers decide to implement Snowflake, they guide them throughout their journey.
We provide expert guidance to our customers. For most implementation work, we collaborate closely with our customers’ engineering teams or members of our partner network.
Requirements
* Experience building Data Platforms
* DCR Experience
* Data Engineering / Warehousing expertise
* Ability to translate business requirements into clear technical specifications
* Clear communication and understanding of all new Snowflake features is essential
* Significant experience with Data Clean Rooms (DCRs)
* Expertise with Cloud platforms - AWS, Azure, or GCP
* Experience setting up CI/CD pipelines with automated testing