Job Description
Design and implement data architecture solutions using Snowflake, ensuring optimal performance and scalability.
Develop and maintain ETL processes using SnowSQL and Spark to facilitate data ingestion and transformation.
Collaborate with data engineers, analysts, and other stakeholders to gather requirements and translate them into technical specifications.
Optimize existing data pipelines and workflows for efficiency and reliability.
Conduct performance tuning and troubleshooting of Snowflake environments.
Stay updated with the latest Snowflake features and best practices, and provide recommendations for improvements.
Document architecture designs, processes, and procedures for future reference and training.
Participate in code reviews and provide mentorship to junior team members.
Mandatory Skills
- Proven experience as a Snowflake Architect with a strong focus on SnowSQL.
- Expertise in Spark for data processing and transformation.
- In depth knowledge of Snowflake architecture, features, and best practices.
- Strong programming skills in SQL and experience with data modeling.
- Experience with cloud platforms, particularly AWS or Azure.
- Excellent problem solving skills and attention to detail.
- Strong communication and collaboration skills.
- Senior Data Architect who can shape the Azure Snowflake roadmap, migration, Agents for Data Eng SDLC
Preferred Skills
- Experience with data visualization tools such as Tableau or Power BI.
- Familiarity with data governance and security best practices.
- Knowledge of machine learning concepts and tools.
- Experience with Agile methodologies and project management tools.