AVP, Data Platform & Engineering
Tasks
- Architect data platform
- Build ELT/ETL pipelines
- Build platform reliability practices
- Define data platform roadmap
- Deliver data products and semantic layers
- Deploy feature store platform
- Enable AI model development
- Ensure compliance with financial regulations
- Establish engineering standards
- Implement data contracts
- Implement observability
- Lead data engineering team
- Lead vendor relationships
- Migrate to cloud native platforms
- Modernize legacy ETL
- Monitor data quality
- Operate streaming pipelines
- Validate data assets
Perks/Benefits
- Employee assistance program
- Free financial counseling
- Health coaching
- Leadership development
- PTO
- Parental leave
- Tuition assistance
- Virtual training opportunities
- Work from office hybrid schedule
Skills/Tech-stack
AWS | Amazon Kinesis | Azure | CI/CD | Cloud platform | Data Catalog | Data Contracts | Data Lakehouse | Data Lineage | Data Quality | Data Validation | Data mesh | Databricks | ELT | ETL | Feature Store | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kafka | Kubernetes | Low Latency | Machine Learning | Observability | Real Time | Real-time Machine Learning | Semantic Search | Snowflake | Streaming Pipelines | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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