Lead Data Architect
5 days ago
We are seeking a highly skilled Data Engineering Lead to join our team at Community Blood Center. The successful candidate will be responsible for designing, implementing, and maintaining our data infrastructure, ensuring high-quality data delivery to support business decisions.
Key Responsibilities:
- Develop and implement data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
- Lead the architectural design and optimization of robust, scalable data pipelines.
- Collaborate with cross-functional teams, including data scientists, BI analysts, and software engineers, to implement data solutions.
- Mentor junior engineers and lead project teams to promote knowledge sharing and professional growth within the team.
About the Role:
This is an exciting opportunity to join a dynamic team at Community Blood Center, where you will have the chance to make a meaningful impact on our mission to provide lifesaving blood products and services. As a Data Engineering Lead, you will play a critical role in ensuring the quality and accuracy of our data, which is essential for informed decision-making and effective operations.
Requirements:
- Bachelor's Degree in Computer Science, Data Science, Information Technology, or related field.
- 10+ years of progressive experience in data engineering, with proven expertise in designing, implementing, and leading initiatives for optimizing databases and data pipelines.
- Advanced proficiency in SQL and Python for sophisticated data manipulation and analytics.
- Leadership experience in data modeling and architecture for both analytics and transactional systems within large-scale environments.
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