Cloud Data Platform Engineering Lead
Chicago - 20 S. Wacker, United States
USD 138K-231K Senior-level Full Time
Tasks
- Align data initiatives with enterprise systems SDLC
- Architect enterprise data solutions on Google Cloud Platform
- Design and develop large-scale data pipelines
- Drive cloud native workflow adoption
- Establish data quality metadata management and lineage
- Implement CI CD frameworks for data platforms
- Implement data lifecycle governance and compliance
- Integrate operational and analytical data stores
- Optimize cloud costs and resource efficiency
- Provide technical mentorship and engineering guidance
Perks/Benefits
- 401k
- Education reimbursement
- Health benefits
- Hybrid work
- Mental health benefit
- Paid time off
- Retirement plan
Skills/Tech-stack
AI/ML | AI/ML Integration | Apache Flink | Apache Spark | Argo Workflows | BigQuery | CI/CD | Cloud SQL | Cloud Storage | Cloud platform | Compliance | Cost Optimization | Data Governance | Data Lifecycle Management | Data Lineage | Data Security | Data lifecycle | Dataflow | GKE | Google Cloud | Google Cloud Platform | IAM | Java | KMS | Kubernetes | Lifecycle Management | Looker | ML integration | Metadata Management | PubSub | Python | SDLC | Tableau | Terraform | Vertex AI
Education
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