AI Governance Data Engineer — Build Trusted Data Foundations

Fidelity Information Services, LLC; Jacksonville (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Internal career growth

Fintech innovation

Diverse team

Professional development

Community involvement

Job summary

Fidelity Information Services, LLC is seeking a Data Engineer, AI Governance to design and maintain data foundations that enable responsible AI across the enterprise.

You will build scalable data pipelines, ensure data quality, and establish data lineage to support AI, analytics, and governance initiatives. The role focuses on trusted data, security, and compliant data practices within a financial services context.

Qualifications

• Experience as a Data Engineer, Data Platform Engineer, Data Integration Engineer, or similar role in large-scale data environments.
• Strong experience building backend data pipelines using modern data engineering practices.
• Experience with data integration, transformation, cleansing, and consolidation across multiple data sources.
• Knowledge of data governance, data quality, metadata management, and data lifecycle management.
• Experience establishing and documenting data lineage, data flows, and data dependencies.
• Proficiency with SQL and data modeling concepts in enterprise data environments.
• Experience with cloud-based data platforms, data warehouses, and data lake architectures.
• Knowledge of data security, access management, and governance principles.
• Strong analytical, troubleshooting, and problem-solving skills with attention to detail.
• Passion for high-quality, trusted data products.

Responsibilities

• Design, develop, and maintain scalable backend data pipelines and data platforms for AI governance.
• Consolidate and transform data from multiple sources into trusted datasets for AI and business use.
• Establish end-to-end data lineage and data ownership models.
• Define data ownership, stewardship, and accountability with governance teams.
• Implement data quality controls, monitoring, and observability practices.
• Develop metadata management processes to improve discoverability and governance.
• Support data access governance by defining and monitoring access controls.
• Build data validation, reconciliation, and audit capabilities for trusted assets.
• Collaborate with AI/ML teams to ensure governed data supports model development.
• Identify automation opportunities to improve reliability and efficiency.

Skills

Data engineering

SQL

Data governance

Data lineage

ETL pipelines

Cloud platforms

Data quality

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Data catalogs

Metadata management tools

Data observability platforms

Job description

Fidelity Information Services, LLC is seeking a Data Engineer, AI Governance to design and maintain data foundations that enable responsible AI across the enterprise.

You will build scalable data pipelines, ensure data quality, and establish data lineage to support AI, analytics, and governance initiatives. The role focuses on trusted data, security, and compliant data practices within a financial services context.