Director of Enterprise Data Modeling & Architecture

Fidelity Investments Inc.; Texas; Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Fidelity Investments Inc. in Westlake, TX is seeking a Director of Data Modeling to oversee data lineage, metadata management, and semantic consistency across domains.

The role drives enterprise-wide modeling methodologies and adoption of best practices for conceptual, logical, and physical data models across transactional, analytical, and cloud-native platforms. The candidate will lead the design of complex data models for Snowflake, Oracle, and AWS, while partnering with engineering and

Formación

• Bachelor’s degree (or foreign education equivalent) in a related field with 6 years of experience as a Director, Data Modeling.
• Alternatively, Master’s degree with 4 years of experience in data modeling and analysis on relational databases using SQL and SAP Power Designer or ERWIN.

Responsabilidades

• Oversees data lineage, metadata management, and semantic consistency across domains.
• Sets enterprise-wide data modeling methodologies for consistency and quality.
• Leads complex data model design for multi-platform environments (Snowflake, Oracle, AWS).
• Partner with engineering and governance teams to ensure data quality, security, and regulatory alignment.
• Provide leadership, training, and coaching to multiple teams on data architecture initiatives.

Conocimientos

Data modeling

SQL

Data architecture

Leadership

Cross-functional collaboration

Educación

Bachelor's degree in Computer Science/Engineering/IT/IS/Business Administration

Master's degree in Computer Science/Engineering/IT/IS/Business Administration

Herramientas

Erwin

SAP PowerDesigner

Snowflake

Oracle

SQL Server

Python

SQL Developer

Toad

Descripción del empleo

Fidelity Investments Inc. in Westlake, TX is seeking a Director of Data Modeling to oversee data lineage, metadata management, and semantic consistency across domains.

The role drives enterprise-wide modeling methodologies and adoption of best practices for conceptual, logical, and physical data models across transactional, analytical, and cloud-native platforms. The candidate will lead the design of complex data models for Snowflake, Oracle, and AWS, while partnering with engineering and