ETL Solution Architect with Snowflake Job Description Template
As an ETL Solution Architect with Snowflake, you will be responsible for architecting, designing, and implementing comprehensive data integration solutions using Snowflake. You will work closely with cross-functional teams to ensure efficient data flow, compliance, and optimal performance within the Snowflake ecosystem.
Responsibilities
- Design and architect ETL processes utilizing Snowflake
- Develop and manage data pipelines and workflows
- Collaborate with data engineers, analysts, and stakeholders
- Ensure data accuracy, consistency, and security
- Optimize performance of data integration processes
- Monitor and troubleshoot ETL operations
- Document architectural solutions and best practices
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field
- 5+ years of experience in ETL architecture and development
- 3+ years of hands-on experience with Snowflake
- Strong understanding of data warehousing concepts
- Experience with SQL, Python, and ETL tools
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
Skills
- Snowflake
- SQL
- Python
- ETL tools
- Data warehousing
- Data modeling
- Performance optimization
- Data security
- Technical documentation
- Problem-solving
Frequently Asked Questions
An ETL Solution Architect with Snowflake is responsible for designing and implementing Extract, Transform, Load (ETL) solutions using Snowflake's cloud-based data warehousing platform. They oversee data integration processes, ensuring efficient data flow from various sources into Snowflake for analysis and reporting. The role involves creating ETL strategies that optimize system performance and data quality.
To become an ETL Solution Architect with Snowflake expertise, one should have a strong foundation in database management and ETL tools. Gaining experience in data modeling and cloud platforms like AWS or Azure is beneficial. It's crucial to obtain certifications in Snowflake and relevant ETL tools. Practical experience in implementing ETL solutions and a comprehensive understanding of Snowflake's capabilities will also enhance one's candidacy.
The average salary for an ETL Solution Architect with expertise in Snowflake varies based on industry, location, and experience level. Generally, professionals in this role command salaries ranging significantly due to the in-demand nature of Snowflake proficiency coupled with ETL skills. It's advisable for candidates to research salary standards in their specific region and industry.
Typically, an ETL Solution Architect with Snowflake expertise requires a bachelor's degree in computer science, information technology, or a related field. Advanced knowledge in data warehousing, ETL processes, and cloud technologies is essential. Professional certifications emphasizing Snowflake and ETL tools enhance a candidate's qualifications. Additionally, experience in data architecture and strong problem-solving skills are highly valuable.
An ETL Solution Architect with Snowflake expertise needs skills in data integration, data modeling, and proficiency with Snowflake's platform. Responsibilities include designing ETL solutions, optimizing data processing workflows, and ensuring high data quality. Technical proficiency in SQL, cloud services, and other ETL tools like Informatica or Talend is required. The role demands strong collaboration skills to work with data engineers and analysts.