Senior Data Engineer: Lead Enterprise-Scale Data Solutions

ghr; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Bank of America is seeking a senior Data Engineer to drive enterprise data platforms. You will lead design, development, and delivery of data solutions using Spark/Scala, Kafka, Hadoop, Starburst, and cloud technologies to support real-time and batch processing.

You will mentor teams, ensure robust interfaces, and coordinate across time zones to achieve business outcomes while maintaining data quality and security standards.

Qualifications

• 12+ years of experience in Data Engineering.
• Experience with large-scale analytical platforms and distributed data processing frameworks is preferred.
• Architected and implemented cloud-native data platforms supporting real-time, near real-time, and batch processing.

Responsibilities

• Assembles large, complex data sets that meet functional and non-functional requirements across multiple systems.
• Maintains, cleans, and manipulates large data for operational and analytics data systems and builds data transformation processes.
• Defines data pipelines to enable data-driven decision making and ensures adherence to release processes.
• Leads data engineering teams in CI/CD and deployment practices and mentors junior engineers.

Skills

Analytical Thinking

Application Development

Data Management

Decision Making

DevOps Practices

Tools

Scala

Spark

Kafka Streaming

Hadoop

Starburst

Object Storage

Informatica

Job description

Bank of America is seeking a senior Data Engineer to drive enterprise data platforms. You will lead design, development, and delivery of data solutions using Spark/Scala, Kafka, Hadoop, Starburst, and cloud technologies to support real-time and batch processing.

You will mentor teams, ensure robust interfaces, and coordinate across time zones to achieve business outcomes while maintaining data quality and security standards.