Senior Systems Engineer
San Francisco, CA, United States
USD 165K-216K (estimate) Senior-level Full Time
Tasks
- Architect and deliver data warehouse and lakehouse solutions
- Conduct customer needs analysis
- Define enterprise data management solutions
- Deliver analytics and predictive model solutions
- Implement GenAI and RAG for enterprise knowledge management
- Implement real time and streaming analytics
- Lead cloud data warehouse or lakehouse migrations
- Modernize enterprise BI and enable self-service analytics
- Perform advanced systems integration
- Prepare product specifications and technical presentations
- Provide pre-sales technical support to field sales teams
- Verify operability of product and service configurations
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon Redshift | Azure Synapse | Azure Synapse Analytics | BigQuery | CCPA | Cloudera | DBT | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Warehousing | Data masking | Databricks | Dimensional Modeling | ELT | ETL | Elasticsearch | Embeddings | Feature Engineering | GDPR | Kafka | Lakehouse | Langchain | Llamaindex | Looker | MLflow | Machine Learning | Milvus | Model Deployment | Model Training | PGVector | Performance Tuning | Power BI | Prompt engineering | PyTorch | Python | Qlik | RAG | RBAC | SQL | Scikit-learn | Snowflake | Snowflake Schema | Spark | Star Schema | Synapse Analytics | Tableau | TensorFlow | Vector Databases
Education
N/A
Roles
Architect | Data Engineer | Data Scientist | Engineer | Scientist | Solutions Architect | Systems Engineer
Regions
Countries
States
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