Data Architecture - Sr Advisor II
Milwaukee, Wisconsin, United States
USD 110K-186K (estimate) Senior-level Full Time
Tasks
- Architect low latency high throughput systems
- Build data lake based real time and batch applications
- Collaborate with product managers in agile prioritization
- Conduct proof of concept for technical evaluation
- Create technical roadmaps based on new technologies and tool comparisons
- Design data architecture for credit risk marketing and verification
- Develop microservices-based solutions
- Evolve architectures from three tier to data warehousing to distributed big data
- Lead engineering output across product lines
- Lead parallel product initiatives and remove roadblocks
- Mentor application developers
Perks/Benefits
- N/A
Skills/Tech-stack
AES 256 | AWS | Agile | Application development | Best practices | Big Data | Cloud platform | Confluence | Data Lake | Data Warehousing | Database Management System | DevOps | Docker | Encryption | Git | Google Cloud | Google Cloud Platform | Hashing | High Throughput | Java | Jira | Kafka | Kubernetes | Low Latency | Management System | Maven | Microservices | Microsoft Azure | NoSQL | Object-Oriented | Object-oriented programming | Relational Database | Relational Database Management | Relational Database Management System | Secure Application Development | Secure application | Security best practices | Spark | Spring Boot
Education
Roles
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