Senior Data Engineer: AI-Ready Data Platforms Lead

Koitecc Solutions; Jersey City (NJ); On-site; USD 128,000 - 182,000; Full time

Job summary

Bank of America is seeking a data engineering leader to shape enterprise-wide data capabilities and AI-ready foundations. You will guide design, governance, and scalable pipelines across multiple systems, partnering with product and service SMEs to ensure trusted data for AI consumption.

The role emphasizes data quality, governance, and cross-domain initiatives to improve model grounding and decision quality. 1st shift in Jersey City, NJ with a competitive compensation package.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Statistics, or related field.
• 7+ years of experience in data engineering, with demonstrated leadership in enterprise data platforms.
• Advanced proficiency in SQL and Python.
• Deep expertise in data integration, pipeline development, and large-scale data processing
• Strong experience implementing data quality frameworks and automated validation
• Advanced knowledge of data modeling, metadata, and lifecycle management
• Experience with data governance, lineage, and control frameworks
• Strong understanding of AI/ML data requirements and data readiness practices
• Proven ability to design solutions for scalable, high-performance analytics platforms

Responsibilities

• Assembles large, complex data sets meeting functional and non-functional requirements.
• Maitains, cleans, and manipulates large data for operational and analytics systems.
• Uses architectural components to design data requirements with development teams.
• Defines and builds data pipelines enabling data-informed decisions.
• Contributes to test suites and analyzes test reports.
• Leads data-management gap analysis and closes gaps with partners.
• Mentors Data Engineers on CI/CD practices.
• Leads design and improvement of data assets for AI-ready use.
• Defines standards for documentation, telemetry, metadata, and governance for AI.
• Partners with SMEs to improve model grounding and decision quality.
• Designs scalable methods for storing, governing, and retrieving context assets.
• Establishes preventative and detective controls for data quality and lineage.

Skills

Analytical Thinking

Application Development

Data Management

Risk Management

Solution Design

Agile Practices

Architecture

Collaboration

Decision Making

DevOps Practices

Data Quality Management

Python

SQL

Critical Thinking

Education

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

Job description

Bank of America is seeking a data engineering leader to shape enterprise-wide data capabilities and AI-ready foundations. You will guide design, governance, and scalable pipelines across multiple systems, partnering with product and service SMEs to ensure trusted data for AI consumption.

The role emphasizes data quality, governance, and cross-domain initiatives to improve model grounding and decision quality. 1st shift in Jersey City, NJ with a competitive compensation package.