Azure Data Architect - Snowflake
Azure Data Architect - Snowflake
Posted yesterday
SENIORITY
Lead
About the role
- 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
