Data Architect
Cummins•Indianapolis, IN
•$123,030 - $150,370•Remote
About The Position
We are looking for a talented Data Architect to join our team specializing in Systems/Information Technology for Cummins, Inc. as part of DBU Data & Analytics, Remote.
Requirements
- Talented Data Architect
- Specializing in Systems/Information Technology
- Experience with scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
- Experience building and maintaining frameworks to monitor, detect, and resolve data quality and integrity issues.
- Experience implementing data governance practices, including metadata management, data access, and retention policies.
- Experience architecting and guiding development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
- Experience designing physical data models and optimizing database structures, indexing, and relationships for performance.
- Experience testing, optimizing, and troubleshooting data pipelines to ensure stability and performance.
- Experience developing and managing large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
- Experience driving automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.
Responsibilities
- Design and automate scalable data ingestion and transformation pipelines across relational, event-based, and unstructured sources.
- Build and maintain frameworks to monitor, detect, and resolve data quality and integrity issues.
- Implement data governance practices, including metadata management, data access, and retention policies.
- Architect and guide development of reliable, efficient, and scalable ETL/ELT data pipelines with monitoring and alerting.
- Design physical data models and optimize database structures, indexing, and relationships for performance.
- Test, optimize, and troubleshoot data pipelines to ensure stability and performance.
- Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g., data lakes, Hadoop, NoSQL databases).
- Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
