Data Engineering Manager
Tasks
- Architect data foundations for AI readiness
- Build unstructured data pipelines and RAG datasets
- Enable agentic AI workflows with Vertex AI and Gemini
- Enforce data governance and privacy controls
- Ensure data quality observability and anomaly detection
- Implement policy-as-code in CI/CD pipelines
- Lead real time and batch data pipelines
- Lead technical deployments as DRI and manage engineering pods
- Manage GCP data infrastructure and integrations
- Operationalize ML models into production
Perks/Benefits
- Employee resource groups
- Flexible family care days
- Medical, dental & vision coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Drug Coverage
- Subsidized back-up child care
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Access Control | Apache Airflow | Attribute-Based Access Control | Attribute-based access | BigQuery | CCPA | CI/CD | Cloud Composer | Cloud platform | Customer Data | Customer Data Platform | Data Architecture | Data Contracts | Data Governance | Data Management | Data Quality | Data platform | DataOps | Dataflow | GDPR | Gemini | Google Cloud | Google Cloud Platform | Infrastructure as Code | Language Models | Large Language Models | MLOps | Machine Learning | Marketing Cloud | Master Data | Master Data Management | Observability | Policy-as-Code | PubSub | Python | RAG | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SQL | Sales Cloud | Salesforce | Schema SLOs | Service Cloud | SonarQube | Terraform | Vertex AI | “as-code”
Education
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