Data Architect
Tasks
- Add observability logging and alerting
- Assess data pipelines and integrations
- Build cloud infrastructure using infrastructure as code
- Build dimensional models and data warehouses
- Create documentation and enable self service access
- Design, build, and maintain data pipelines
- Develop ETL processes
- Enforce data quality validation and monitoring
- Evaluate data architecture and define roadmaps
- Implement API integrations and data extraction
- Implement CI/CD pipelines and automated testing
- Implement Slowly Changing Dimensions
- Implement backup recovery security and access controls
- Optimize pipeline performance and cost
- Perform database performance tuning
- Transform semi structured data
- Troubleshoot pipeline failures and perform root cause analysis
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Health savings account
- Medical insurance
- Paid time off
- Tuition assistance
- Vision insurance
Skills/Tech-stack
API | API Key | AWS CloudFormation | Amazon Kinesis | Amazon Web Services | Apache Airflow | Apache Spark | Automated testing | CI/CD | Cloud platform | DBT | Data Governance | Data Marts | Data Modeling | Data Quality | Data Validation | Data Vault | Data Warehousing | Dimensional Modeling | Docker | ETL | Git | Google Cloud | Google Cloud Platform | GraphQL | Great Expectations | Infrastructure as Code | JSON | JavaScript | Kafka | Kubernetes | Metadata Management | Microsoft Azure | Monitoring | Monte Carlo | OAuth | OAuth2 | Observability | Prefect | PySpark | Python | REST | Reverse ETL | SQL | Single Sign-On | Slowly Changing Dimensions | Soda | Terraform | Web Services | XML | “as-code”
Education
N/A
Roles
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