Data Architect

- Deep knowledge of cloud environments (AWS, Azure, or GCP). - Strong skills in SQL, Python. - Experience with data modeling, integration, and governance frameworks.

- 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.

- Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management. - Deep knowledge of cloud environments (AWS, Azure, or GCP). - Strong skills in SQL, Python.

- SnowPro certification or other Snowflake credentials. - Certifications in AWS, Azure, or GCP architecture. - Passion for mentoring and helping clients make smart, data-driven decisions.

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great. Role Summary As a Solutions 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. Key Responsibilities

What We’re Looking For – Required Qualifications - 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment. - Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management.

- 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment. - Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management. - Deep knowledge of cloud environments (AWS, Azure, or GCP).

Nice to Have - SnowPro certification or other Snowflake credentials. - Certifications in AWS, Azure, or GCP architecture.

- Experience with data modeling, integration, and governance frameworks. - Familiarity with BI tools like Microstrategy, Tableau, or Power BI. - Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.

- 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.