Principal Engineer - Data Platform
Santa Clara, California, United States
R
USD 221K-387K Senior-level Full Time
Tasks
- Define platform vision roadmap and engineering standards
- Define reference architecture and data contracts between platform components
- Develop forecasting and capacity reservation integration with warehouse
- Establish reliability determinism observability security and compliance standards
- Lead design and development of GCS Data Warehouse
- Lead through influence review designs resolve architectural tensions
- Make cross cutting technical decisions architecture patterns and technology selection
- Migrate data platform off Cloudera to lakehouse with zero data loss
- Own end to end technical architecture of FinOps Engineering Platform
- Plan consumer cutover and legacy Cloudera decommission strategy
- Set correctness validation dual run reconciliation and fail loud checks
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Apache Hive | Apache Iceberg | Apache Impala | Apache Spark | Argo Workflows | CI/CD | Cloud platform | Compliance | DBT | Data Governance | Data Lineage | Data Modeling | Docker | Git | Google Cloud | Google Cloud Platform | HDFS | Kubernetes | Lakehouse | Lakehouse Architecture | Lightdash | Microsoft Azure | Observability | Python | SQL | Security | Terraform | Trino
Education
N/A
Regions
Countries
States
Cities
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