Description :

Role Overview :

As a Snowflake Solution Architect, you will be at the forefront of designing and implementing cutting-edge data solutions for our clients, leveraging the power of the Snowflake Data Cloud.

You will collaborate closely with clients, data engineers, data scientists, and business stakeholders to understand their data needs and translate them into robust, scalable, and cost-effective solutions.

Your expertise will be instrumental in helping organizations unlock the full potential of their data, driving informed decision-making and achieving significant business outcomes.

Key Responsibilities :

- Design and implement comprehensive data solutions on the Snowflake platform, ensuring alignment with business requirements and industry best practices.

- Architect and develop data pipelines for ingestion, transformation, and loading (ETL/ELT) of data from various sources into Snowflake, optimizing for performance and scalability.

- Develop and maintain data models within Snowflake, ensuring data integrity, consistency, and accessibility for downstream applications and analytics.

- Provide technical leadership and guidance to data engineering teams, ensuring adherence to architectural standards and best practices.

- Collaborate with clients to understand their data challenges and propose innovative solutions leveraging Snowflake's capabilities.

- Optimize Snowflake performance through query tuning, data partitioning, and other techniques, ensuring efficient resource utilization and cost management.

- Develop and maintain comprehensive documentation for Snowflake solutions, including architecture diagrams, data models, and operational procedures.

- Evaluate and recommend new Snowflake features and functionalities to enhance data capabilities and improve overall efficiency.

Required Skillset :

- Demonstrated expertise in designing and implementing data warehousing and data lake solutions using Snowflake DB.

- Proven ability to architect and develop scalable data pipelines using Python and SQL.

- Strong understanding of cloud computing principles and experience with cloud platforms such as AWS, Azure, or GCP.

- Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Ability to collaborate effectively with cross-functional teams and stakeholders to achieve common goals.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Ability to work independently and remotely, managing time effectively and meeting deadlines.