Bid Role - Data Architect (STAR 4275)
USD 120K-179K (estimate) Senior-level Full Time
Tasks
- Add error handling and failure recovery
- Assess data pipelines and infrastructure
- Create documentation for systems processes and integrations
- Create reusable data components
- Design dimensional models data warehouses and data marts
- Design, build, and maintain data pipelines
- Develop ETL processes
- Enable data observability and monitoring
- Establish data standards and naming conventions
- Evaluate data architecture best practices
- Handle semi structured data transformations
- Implement API integrations
- Implement Slowly Changing Dimensions
- Implement backup recovery security and access controls
- Implement cloud infrastructure with Infrastructure as Code
- Implement data quality checks and validation rules
- Optimize pipeline performance and cost
- Perform root cause analysis
- Provide self service data enablement
- Refactor legacy pipelines for reliability
- Set up CI CD version control and automated testing
- Troubleshoot pipeline failures and data discrepancies
- Tune database performance for indexing and partitioning
Perks/Benefits
Skills/Tech-stack
API Integration | API Keys | API Management | Access Controls | Amazon Web Services | Apache Airflow | Automated testing | CI/CD | Capacity Planning | Cloud platform | CloudFormation | Compliance | Data Modeling | Data Quality | Data Validation | Data Warehousing | Database performance | Database performance tuning | Dimensional Modeling | ELT | ETL | Error Handling | Failure recovery | Git | Google Cloud | Google Cloud Platform | Indexing | Infrastructure as Code | JSON | Logging | Microsoft Azure | Monitoring | OAuth | Observability | Pagination | Partitioning | Performance Tuning | Prefect | Python | Rate Limiting | Retry logic | Reverse Engineering | SQL | Security controls | Single Sign-On | Terraform | Web Services | XML | “as-code”
Education
N/A
Roles
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