Director, Data Engineering, Platform & Governance
Tasks
- Architect data platform
- Build batch-processing pipelines
- Build real-time streaming pipelines
- Define AI explainability transparency guidelines
- Define data access and sharing controls
- Define model lifecycle governance
- Design analytics-ready data models
- Develop real time data services and APIs
- Ensure compliance with CCPA and GDPR
- Establish AI governance frameworks
- Establish data quality and observability standards
- Implement data governance policies
- Implement data lineage and metadata management
- Implement model monitoring drift detection and bias mitigation
- Operate AI governance decision process
- Set human in the loop oversight
Perks/Benefits
- 401k match
- Employee assistance program
- Medical/Dental/Vision
- Mind health support
- Paid parental leave
- Paid sick time
- Paid vacation
- Wellbeing allowance
Skills/Tech-stack
API Development | AWS | Airflow | Analytics engineering | Artificial Intelligence | Azure | Batch Processing | BigQuery | CI/CD | Cloud Computing | Cost Optimization | DBT | Dagster | Data Architecture | Data Engineering | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data platform | Databricks | Docker | GCP | Infrastructure as Code | Kafka | Kinesis | MLOps | Machine Learning | Metadata Management | Observability | Prefect | PubSub | Real Time | Real-time Streaming | Reliability Engineering | Security | Snowflake | Streaming Pipelines | Terraform | “as-code”
Education
N/A
Regions
Countries
States
Cities
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