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Data Systems Architect
2 weeks ago
Job Title: Data Systems Architect
As a skilled Data Systems Architect, you will play a vital role in designing and implementing high-performance data systems that meet the needs of our clients.
Responsibilities:
- Develop a centralized database strategy, architecture, and technology choices to ensure scalable, resilient, and high-performance data systems supporting mission-critical applications.
- Design and implement databases using partitioning & indexing that meet or exceed business requirements.
- Oversee complete deliverables from inception to delivery from the client's Global Capability Center (GCC).
- Apply analytical skills to solve complex problems by taking a new perspective on existing solutions and exercising judgment based on analysis of multiple sources of information.
- Expertise in database practices and procedures such as DDL, DML, and DCL is required.
- Develop data relationships, schemas, and Entity-Relationship Diagrams.
- Understand cloud computing, including data protection, access control, and compliance.
- Review data structures to ensure adherence to database design best practices.
- Stay up-to-date with different cloud models, service models, and deployment options.
- Troubleshoot database issues, including integrity issues, blocking/deadlocking issues, log shipping issues, connectivity issues, security issues, memory issues, disk space, etc.
- Identify, assess, and treat risks affecting the confidentiality, integrity, and availability of organizational assets.
- Document complex software system designs as easily understood diagrams, using text and symbols to represent data flow.
- Ensure effective backup management and periodic database restoration testing.
- General DB Cloud networking skills - VPCs, SGs, KMS keys, private links are essential.
- Knowledge of firewalls, antivirus, encryption software, access control systems, audit logs, backup software, and recovery software is required.
- Ability to develop stored procedures and scripting languages for reusable code and improved performance is crucial.
- Know how to import and export data into and out of databases using ETL tools, code, migration tools like DMS or scripts.
- Knowledge of DevOps principles and tools, such as CI/CD, is beneficial.
- Ability to optimize queries for performance and resource efficiency is key.
- Review database metrics to identify performance issues.
- Ability to design, document, and implement highly available resilient database architectures for multiple DB platforms, including NoSQL, is necessary.
- Knowledge of full-text indexing & composite indexes is required.
- Implement strategies like failover, load balancing, and disaster recovery solutions.
