Job Description- Data Architect - Snowflake
Responsibilities:
• Act as Data domain expert for Snowflake in a collaborative setting to provide demonstrated understanding of data management best practices and patterns.
• Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities.
• Develop and enforce data modelling standards and best practices for Snowflake environments.
• Develop, optimize, and maintain Snowflake data warehouses.
• Leverage Snowflake features such as clustering, materialized views, and semi-structured data processing to enhance data solutions.
• Ensure data architecture solutions meet performance, security, and scalability requirements.
• Stay current with the latest developments and features in Snowflake and related technologies, continually enhancing our data capabilities.
• Collaborate with cross-functional teams to gather business requirements, translate them into effective data solutions in Snowflake and provide data-driven insights.
• Stay updated with the latest trends and advancements in data architecture and Snowflake technologies.
• Provide mentorship and guidance to junior data engineers and architects.
• Troubleshoot and resolve data architecture-related issues effectively.
Skills Requirement:
• 5+ years of proven experience as a Data Engineer with 3+ years as Data Architect.
• Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing.
• Experience in designing and building manual or auto ingestion data pipeline using Snowpipe.
• Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL.
• SnowSQL Experience in developing stored Procedures writing Queries to analyse and transform data
• Working experience on ETL tools like Fivetran, DBT labs, MuleSoft
• Expertise in Snowflake concepts like sett