Sr. Data & Analytics Architect
Emeryville, California, United States
USD 165K-185K Senior-level Full Time
Tasks
- Architect data lakes and data warehouses
- Architect predictive analytics and NLP systems
- Architect real-time data pipelines
- Collaborate with stakeholders to translate business needs
- Define AI ML solution architecture
- Design and implement enterprise data architectures
- Design enterprise integrations and data sharing
- Design model training and deployment
- Design recommendation and generative AI applications
- Develop analytics dashboards
- Ensure privacy & compliance
- Establish APIs and event driven architectures
- Establish architecture standards and best practices
- Implement data governance and security standards
- Implement model monitoring and governance
- Implement scalable Spark pipelines
- Influence strategic technology decisions
- Lead architecture reviews and technical guidance
- Lead cloud data and AI workload architecture
- Mentor data and ML engineers
- Optimize performance scalability security and cost
- Support MLOps model deployment and monitoring
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Artificial Intelligence | Azure | Cloud platform | Cost Optimization | Data Architecture | Data Lake | Data Warehouse | Databricks | Distributed Systems | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Governance | LLM | Lakehouse | MLOps | Machine Learning | Metadata Management | Model Deployment | Model Monitoring | Model versioning | NLP | Power BI | Predictive Analytics | Privacy Compliance | PyTorch | Python | Real Time | Real-time Pipelines | Recommendation Systems | SQL | Scalability | Scikit-learn | Security | Spark | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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