Manager, Data Information Global

Red Hat•Raleigh, NC

4d•Hybrid

About The Position

This role involves designing and implementing scalable data architectures and data models to support enterprise reporting, analytics, and business intelligence use cases. The position requires designing, developing, and optimizing ETL/ELT pipelines and workflows to process large-scale datasets, ensuring performance, scalability, and reliability. The role also includes managing and providing technical leadership for a global team of Data Engineers and Business Analysts, establishing data governance and quality standards, and supporting enterprise financial and operational reporting.

Requirements

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Technology or related field and nine (9) years of experience in the job offered or related role OR eleven (11) years of experience in the job offered or related role.
Five (5) years of experience with: data architecture and scalable system design; ETL/ELT pipeline development and optimization; data modeling and schema design; data governance, data quality frameworks and audit controls; data warehousing; and data engineering with increasing ownership and delivery responsibility.
Three (3) years of experience with: data integration and API-based data engineering; business data validation, reconciliation and compliance reporting; advanced SQL and database performance optimization; python for data engineering and automation; and technical mentorship, including code reviews and cross-functional collaboration.

Responsibilities

Design and implement scalable data architectures and data models to support enterprise reporting, analytics, and business intelligence use cases.
Design, develop, and optimize ETL/ELT pipelines and workflows to process large-scale datasets, ensuring performance, scalability, and reliability.
Develop data solutions using SQL and Python to transform, validate, and analyze complex datasets, enabling accurate and timely insights.
Manage and provide technical leadership for a global team of Data Engineers and Business Analysts, including task prioritization, code reviews, and professional development while ensuring adherence to engineering best practices and standards.
Serve as a primary escalation point for complex data issues, ensuring timely resolution of data discrepancies and maintaining high data reliability during critical reporting and operational cycles.
Architect and support complex data warehousing solutions (e.g., Oracle, SQL Server, Amazon Redshift, Snowflake or similar platforms), including development of data pipelines and historical data tracking structures such as Slowly Changing Dimensions (SCD).
Establish and enforce data governance, data quality standards, and audit controls to ensure integrity, consistency, and compliance of data used for business and financial reporting.
Support enterprise financial and operational reporting by ensuring accurate data processing, validation, and reconciliation across systems.
Partner with cross-functional stakeholders to translate business requirements into scalable technical solutions, supporting key initiatives such as customer lifecycle analysis, performance tracking, and forecasting.
Contribute to the evolution of data frameworks and processes to support planning, forecasting, and evolving business needs, including adapting data models to reflect changing business rules and structures.