remote
Assistant Vice President, Data Engineer - Bank of America
Data Engineer
Lead enterprise data engineering initiatives, architecting scalable pipelines and data models on AWS using Python, SQL, and Spark to empower analytics and decision‑making across the organization.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines and lakehouse architecture on AWS, ensuring high availability and performance.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data models and ETL workflows.
- Implement best practices for data quality, governance, and security, including lineage tracking and automated testing.
- Optimize existing pipelines for cost, speed, and scalability, leveraging Spark, Glue, and Redshift.
- Mentor and lead a team of data engineers, fostering a culture of continuous improvement and knowledge sharing.
Requirements
- 10+ years of experience in data engineering, with 5+ in a leadership role.
- Proficiency in Python, SQL, and Apache Spark for data processing.
- Hands‑on experience with AWS services such as S3, Glue, Redshift, and Lake Formation.
- Strong understanding of data modeling, ETL design, and data governance principles.
- Excellent communication skills and ability to translate technical concepts to non‑technical stakeholders.
Skills
pythonsqlapache sparkaws