Manager, Data Information, Global

Red Hat

. Design and implement scalable data architectures and data models for enterprise reporting, analytics, and business intelligence .

Posted 9/24/2026full-timeRaleigh • North Carolina • United StatesSeniorLead💰 $148,366 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing scalable data architectures, data models, and ETL/ELT pipelines, with a strong focus on data governance and quality standards. Proven ability to lead technical teams and collaborate with stakeholders to deliver data solutions that meet business needs.

Highest-signal resume keywords

Data ArchitectureETL/ELT Pipeline DevelopmentData GovernanceSQL for Data EngineeringPython for Data Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignData WarehousingData IntegrationAPI-Based Data EngineeringBusiness Data ValidationReconciliationDatabase Performance OptimizationTechnical MentorshipCode Reviews

Soft Skills

LeadershipCollaborationTask PrioritizationProblem SolvingCommunication

Tools & Technologies

OracleSQL ServerAmazon RedshiftSnowflake

Industry Keywords

Data Quality FrameworksAudit ControlsEnterprise ReportingBusiness IntelligenceData Processing

Tech Stack

Tools & technologies

Amazon RedshiftETLOraclePythonSQL

About the role

Key responsibilities & impact

Design and implement scalable data architectures and data models for enterprise reporting, analytics, and business intelligence
Design, develop, and optimize ETL/ELT pipelines and workflows for large-scale datasets
Develop data solutions using SQL and Python to transform, validate, and analyze complex datasets
Manage and provide technical leadership for a global team of Data Engineers and Business Analysts
Prioritize tasks, conduct code reviews, and support professional development while enforcing engineering best practices
Serve as a primary escalation point for complex data issues and maintain high data reliability
Architect and support data warehousing solutions using platforms such as Oracle, SQL Server, Amazon Redshift, and Snowflake
Develop data pipelines and historical data tracking structures such as Slowly Changing Dimensions
Establish and enforce data governance, data quality standards, and audit controls
Support enterprise financial and operational reporting through data processing, validation, and reconciliation
Partner with cross-functional stakeholders to translate business requirements into scalable technical solutions
Contribute to data frameworks and processes supporting planning, forecasting, and evolving business needs

Requirements

What you’ll need

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

Benefits

Comp & perks

Bonus, commission, and/or equity eligibility
Flexible work environments, depending on role requirements
Reasonable accommodations for applicants with disabilities