Lead Enterprise Data Platform Engineer

Careerwebsite; Charlotte, Northern (NC, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Bank of America is seeking a senior data engineer to drive enterprise-scale data platforms, leveraging Spark, Kafka, Hadoop, Starburst and cloud technologies. You will design, implement, and govern data integration and transformation across multiple systems, collaborating with cross-functional teams.

You will mentor engineers, ensure robust interfaces, and lead multiple projects with real-time and batch data processes in an in-office culture that supports collaboration and career growth.

Qualifications

• 12+ years of experience in data engineering.
• Experience building large-scale analytical platforms and distributed data processing.
• Cloud-native data platforms with object storage and data lakehouse.
• Hands-on with Scala, Spark, Kafka Streaming.
• Experience with Starburst, Informatica, and Oracle SQL tuning.
• Strong design, performance tuning, and data quality focus.

Responsibilities

• Assembles large, complex data sets that meet functional and non-functional requirements.
• Maintains, improves, cleans, and manipulates large data for operational and analytics needs.
• Utilizes architectural components in client data requirements and collaborates with teams.
• Defines and builds data pipelines enabling data-informed decision making.
• Contributes to test suites including integration and performance testing.
• Leads data management standards adherence and closes gaps with partners.
• Mentors Data Engineers in CI/CD and delivery practices.

Skills

Data engineering

Scala

Spark

Kafka

Hadoop

Cloud platforms

Unix scripting

CI/CD

ETL design

Data lakehouse

Tools

Informatica

Starburst

Oracle SQL

Exadata

Object Storage

Job description

Bank of America is seeking a senior data engineer to drive enterprise-scale data platforms, leveraging Spark, Kafka, Hadoop, Starburst and cloud technologies. You will design, implement, and govern data integration and transformation across multiple systems, collaborating with cross-functional teams.

You will mentor engineers, ensure robust interfaces, and lead multiple projects with real-time and batch data processes in an in-office culture that supports collaboration and career growth.