Lead Data Engineer for AI-Ready Platforms

Koitecc Solutions; Plano, Northern (TX, KY); Hybrid; USD 128,000 - 182,000; Full time

Job summary

Bank of America seeks a senior data engineer to lead the design, governance, and continuous improvement of data and knowledge foundations supporting AI and agentic capabilities. You will work across structured/unstructured data, defining standards, guardrails, and scalable control frameworks for trusted AI consumption.

Partner with product experts to translate data into usable AI assets. The role emphasizes cross-domain initiatives, data quality, lineage, and operational supportability of

Qualifications

• Bachelor's or Master's degree in a relevant field.
• 7+ years of data engineering experience with enterprise scope.
• Advanced proficiency in SQL and Python.
• Experience with data governance, lineage, and control frameworks.

Responsibilities

• Assembles large, complex data sets across multiple systems.
• Maintains, cleans, and manipulates data for operational/analytic systems.
• Defines and builds data pipelines enabling data-informed decisions.
• Mentors Data Engineers in CI/CD and governance activities.
• Leads design/improvement of data assets for AI-ready workflows.

Skills

Python

SQL

Data Management

Data Quality Management

Solution Design

Agile Practices

DevOps Practices

Architecture

Collaboration

Analytical Thinking

Decision Making

Risk Management

Application Development

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or related field

Master's Degree is a plus

Job description

Bank of America seeks a senior data engineer to lead the design, governance, and continuous improvement of data and knowledge foundations supporting AI and agentic capabilities. You will work across structured/unstructured data, defining standards, guardrails, and scalable control frameworks for trusted AI consumption.

Partner with product experts to translate data into usable AI assets. The role emphasizes cross-domain initiatives, data quality, lineage, and operational supportability of