Senior Manager, Data Engineering
USA-CA SMO 2220 Colorado Ave, United States
USD 121K-200K Senior-level Full Time
Tasks
- Build data marts
- Collaborate with data science stakeholders
- Deliver enterprise data products
- Design scalable data pipelines
- Develop semantic layers
- Drive customer identity resolution
- Enable feature engineering datasets
- Enforce schema governance
- Ensure data discoverability explainability compliance
- Ensure data quality and completeness
- Handle incident management
- Implement batch processing pipelines
- Implement data contracts
- Implement monitoring and observability
- Implement real-time streaming pipelines
- Lead data engineering team
- Manage data lineage
- Mentor engineering talent
- Optimize performance, scalability, and cost
- Own platform reliability
- Standardize business definitions
- Support machine learning workflows
Perks/Benefits
- 401k
- Fertility coverage
- Flexible paid time off
- Medical, dental, and vision coverage
- Mental health coverage
- Paid parental leave
- Paid winter break
- Student loan repayment assistance
- Summer Fridays
- Tuition reimbursement
- Wellbeing reimbursements
Skills/Tech-stack
AWS | Attribution | Azure | Batch Processing | Churn Retention | Cloud platform | Customer identity | Customer identity resolution | Data Architecture | Data Contracts | Data Engineering | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | Demand forecasting | Dimensional Modeling | Feature Engineering | Feature Stores | Forecasting | Generative AI | Google Cloud | Google Cloud Platform | Identity resolution | Incident Management | Knowledge graphs | LLM | Lakehouse | Machine Learning | Monitoring | Observability | Personalization | Real Time | Real-time Streaming | Schema governance | Semantic layer | Snowflake | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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