About Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies. Backed by Greylock and Menlo.
About the role
The salary range for this position is $148,366 - $180,000/ year. Actual offer will be based on your qualifications.
What they're looking for
- Develop data solutions using SQL and Python to transform, validate, and analyze complex datasets, enabling accurate and timely insights
- 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
- 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
More about this role
*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, LLC office in Raleigh, NC.
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...
Browse similar: Startup jobs