
Senior Enterprise Data Architect
2 days ago
The role of Lead Data Engineer is crucial in driving the success of our organization's data engineering initiatives. As a seasoned professional with 8+ years of experience in enterprise-level data engineering roles, you will be responsible for leading cross-functional teams and spearheading the development of scalable data infrastructure.
Key Responsibilities:
- Design and implement efficient data pipelines using Snowflake and other data processing tools.
- Develop and maintain complex SQL queries to optimize data retrieval and analysis.
- Collaborate with stakeholders to identify business requirements and translate them into technical solutions.
Required Skills and Qualifications:
- 8+ years of experience in enterprise-level data engineering roles.
- Expertise in OLAP design and deep understanding of data warehousing concepts, including star/snowflake schema, ETL/ELT processes, normalization/denormalization, and data modeling.
- Strong expertise in writing complex SQL queries, including joins, window functions, and optimization techniques.
- Hands-on experience with Snowflake, including warehouses, data ingestion with snow pipe, external integrations, views & tables, UDFs, procedures, streams, tasks, and serverless architecture.
- Experience with Snowflake-specific features, including clustering, partitioning, and schema design best practices.
- Strong verbal and written communication skills for collaborating with both technical teams and business stakeholders.
Benefits:
We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.
How to Apply:
To apply for this position, please submit your resume and cover letter to us. We look forward to hearing from you.
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