Principal Architect - Enterprise Data Engineering
$168,000–$195,000 year
On-site · El Segundo, California, United States
Job Summary
Lead end-to-end data architecture for cloud-based data and analytics platforms, designing scalable, high-performance solutions on Google Cloud and Oracle, including ETL/ELT pipelines and ERP integrations (SAP, Oracle ERP, Coupa, Anaplan). Define data standards, governance, and security, drive cloud transformation, and apply AI/ML capabilities for predictive analytics. Mentor engineering teams and collaborate with stakeholders to translate ERP requirements into scalable data models and pipelines while optimizing cost and performance.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 10+ years of experience in Data Engineering, ETL, and Data Architecture
- Strong experience in Cloud Data Engineering
- Hands-on expertise in ERP integrations (SAP, Oracle ERP)
- Proficiency in SQL and Python
- Experience with ETL/ELT, data modeling, and performance optimization
- Knowledge of batch & streaming architectures and API integrations
- Strong hands-on experience with ERP integrations (SAP, Oracle ERP, finance and supply chain systems)
- Demonstrated ability to translate business requirements into scalable data models and pipelines
- Ability to lead and mentor engineering teams
- Experience with Google Cloud Platform (BigQuery, GCS, Pub/Sub, Cloud Functions)
- Apache Airflow (workflow orchestration)
- Data governance, security, and cost optimization
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