Enterprise Data Architect
INR 2000K-4000K (estimate) Senior-level Full Time
Tasks
- Analyze business requirements
- Analyze large datasets
- Architect enterprise data platform
- Build ETL pipelines
- Conduct platform audits and maintenance
- Create interactive data visualizations
- Define cloud architecture standards
- Define operational best practices
- Define security protocols
- Design APIs for system communication
- Design database designs
- Design real-time streaming pipelines
- Design scalable secure data platform
- Develop data models
- Document data sources and data flows
- Ensure data accuracy and consistency
- Ensure data protection and privacy
- Identify trends, patterns, anomalies
- Implement asynchronous data exchange
- Integrate systems for data sharing
- Lead data analytics implementation
- Manage availability for analytics infrastructure
- Mentor data engineering teams
- Monitor resources and technical risks
- Optimize platform cost and performance
- Perform data quality checks
- Translate business requirements into technical blueprints
Perks/Benefits
- N/A
Skills/Tech-stack
AMQP | API | Agile | Airflow | Apache Spark | Artificial Intelligence | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hubs | Azure IoT | Azure IoT Hub | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Confluence | Data Factory | Data Modeling | Data Quality | Data Warehousing | Data mesh | Database Design | Databricks | Delta Lake | Docker | ETL | Enterprise Service | Enterprise Service Bus | Event Hubs | Feature Engineering | GenAI | HTTP | IoT Hub | Java | JavaScript | Jira | Kafka | Kubeflow | Kubernetes | Kubernetes Service | LLM | MLOps | MLflow | Machine Learning | Microsoft Azure | Microsoft SQL | Microsoft SQL Server | MongoDB | Mqtt | Node.js | PostgreSQL | Power BI | Python | SQL Server | Service Bus | Supervised Learning | Unsupervised Learning | Vector Databases
Education
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