"Data Architect" / "Application Architect" / "Solution Architect"
1:-Role: Data Architect
Experience & Location:
Years of experience - Last 5-6+ years as a proven Data Architect role in building large scale enterprise digital solutions / products / platforms and total
- 12-14+ years of technical experience.
Extensive hands-on: SQL (Oracle / MS / Other), DB2, Maria DB, MongoDB / Atlas, Influx DB & Cassandra (Any 3 is must in combination of SQL & NSQL)
- Extensive hands-on in designing time-series data and documents.
- Extensive hands-on in designing Redis data model (Key-value pair) for highly responsive applications.
- Experience with any of the leading tools for ETL and Warehousing Database platforms.
- Experience working with Data streams through Kafka or RabbitMQ is added advantage.
- Experience working with Data scientists and Power BI developers
Tools:
- Data Modelling tools.
- Leading ETL tools.
2:- Application Architect
Industry Type: Digital Services & Consulting
Functional Area: Product / Solution Development
Role Category: Application Architect - Digital Business
Type of applications: Web (must) and native mobile applications (must)
- Architecture patterns: SPA, Microservices (must) and Serverless (good to have)
- Front End technologies: React / Angular (must), React Native (good to have)
- Back End technologies: Java / Python (any of Django/Flask/Tornado)
- Database/Storage technologies: SQL databases (Must), Elasticsearch (must), Redis (must) and Kafka (good to have) etc.
- Deployment technologies: Kubernetes, Docker & Helm chart (all must)
- Cloud: AWS or Azure (Experience working with cloud extensively)
- Understanding of load balancing / disaster recovery strategy / autoscaling / handling of surge of request is a plus.
Tools:
- GITHub or Similar repository (must)
- JIRA & Confluence (must)
- JFrog or similar antifactory (must)
- Knowledge of SONAR, Junit, Automated testing concepts. (Good to have
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