ABOUT PROJECT X

Project X Ltd. drives success by focusing on building teams of incredibly talented and client-focused people, who love to problem solve and work on tough data problems. We reward hard work and forward-thinking with recognition and a supportive culture that celebrates success and wants to see you grow.
Our team members are trusted advisors to our clients and offer innovative solutions that solve complex data problems. Collaboration, creativity, data knowledge and experience run deep in our veins. We are passionate about building long-term relationships with our clients and staying true to our values. When adding new members to our team, we also look for people that are aligned to our values.
We are also passionate about our people. Hiring and developing people that seek challenges, like to jump in and learn new things, and are happy to lend a helping hand to a peer is what makes us successful.
We understand that it’s our people that make us great.

ROLE SUMMARY

As a Data Architect at Project X Ltd., you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Data Architect will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, complex business challenges, and unlocking the value of data for our clients. This role will require demonstrated expertise in Snowflake to optimize data architecture, performance, and cost efficiency in a cloud-based environment.

WHAT YOU’LL DO

As a Data Architect with Snowflake expertise, you’ll bring structure to chaos and vision to architecture.

• Design and implement end-to-end data solutions, from strategy to deployment.
• Shape enterprise data strategy, architecture, and governance frameworks for our clients.
• Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks.
• Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python.
• Build and optimize cloud data platforms on AWS, Azure, or GCP.
• Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices.
• Drive performance optimization and cost efficiency across deployments.