Snowflake Database Team Lead
7 days ago
We are seeking a highly experienced Snowflake Database Team Lead to lead our cloud data warehouse team at PRI Technology.
This is a VP level opportunity with a very generous base salary of $250,000 per year and employee benefits package.
The successful candidate will have experience in building scalable cloud data platforms using best practices and data warehouse principles. They must understand business requirements and work closely with stakeholders to convert business requirements into technical solutions.
This is a hands-on engineering role requiring extensive data engineering and advanced data analytical skills, as well as the ability to provide mentorship and guidance to junior resources.
Key Responsibilities:
- Design and develop high-performing, secure ELT/ETL processes to transform and integrate source data from internal and external systems to the cloud data warehouse.
- Maintain data warehouse and data pipeline processes, including troubleshooting issues, performance tuning, and implementing data quality improvements.
- Develop a framework for data validation rules and reports to ensure data quality and control.
- Automate standard code deployment and production release processes, adhering to change management processes.
- Create high-quality technical documentation, including data mapping, data processes, and operational support guides.
Required Skills and Qualifications:
- Hands-on experience in building large cloud data warehouses using Snowflake; including database architecture design, data transformations, stored procedures, account and security principles, performance management, etc.
- Experience in data modeling tools (e.g. Erwin, ER/Studio, etc.) and data modeling methodologies such as data vault and dimensional data models.
- Strong technical experience in building scalable data pipelines to integrate structured and unstructured data in both cloud and on-premise environments.
- Solid overall experience in data warehousing, advanced database design, SQL, stored procedures, views, performance tuning and optimization, database indexing techniques, and database maintenance.
- Understanding of data security and cloud security methodologies, and experience in configuration and management of data security to meet compliance and IT security requirements.
- Experience using Airflow or similar tools for developing scheduling and monitoring batch-oriented workflows.
- Working knowledge of Microsoft Power BI and Tableau.
- Experience with SDLC processes, agile development, and source code repositories (e.g. Git or Bitbucket).
- Excellent communication, organization, and problem-solving skills.
- Significant experience data engineering and data warehouse engineering in cloud environment.
- Experience with Snowflake needed.
- Domain expertise with financial services is a plus.
- Bachelor's degree in computer science, data science, or related field.
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