
Data System Architect
1 week ago
We are seeking an experienced Database System Developer to lead the design, implementation, and maintenance of high-performance database systems. The ideal candidate will be responsible for architecting scalable solutions that handle vast volumes of financial market data, including tick-by-tick and OHLC data.
This role is critical to ensuring data integrity, low-latency access, and seamless service for our users.
Key Responsibilities:
- Data Modeling and Management:
- Design, implement, and maintain database schemas for storing and retrieving time-series financial data.
- Develop and optimize ETL processes for ingesting data from various market sources in real-time.
- Ensure data integrity, consistency, and accuracy across all databases.
- API Development and Integration:
- Write robust APIs to provide programmatic access to both historical and real-time market data.
- Implement data retrieval services that can handle high throughput and low-latency queries.
- Collaborate with application developers to integrate database services with trading, analytics, and visualization tools.
- Performance and Scalability:
- Architect and manage database solutions capable of handling extremely high write and read loads associated with tick-by-tick data.
- Implement advanced performance tuning techniques, including indexing, query optimization, and caching strategies.
- Develop and maintain load balancing mechanisms to distribute user requests efficiently across multiple database instances.
- System Maintenance and Monitoring:
- Monitor database performance, conduct regular health checks, and troubleshoot issues in a high-pressure environment.
- Implement robust backup, disaster recovery, and high-availability solutions.
- Stay up-to-date with industry best practices and emerging technologies in database management.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Database Engineer, Data Engineer, or similar role.
- Strong proficiency in SQL and experience with relational databases.
- Experience with time-series databases is highly desirable.
- Solid programming skills in Python, Java, or C++.
- Hands-on experience with API development using frameworks like FastAPI or Flask.
- Familiarity with cloud platforms and related database services.
- Understanding of data structures and algorithms, with a focus on performance optimization.
Desirable Skills:
- Experience with big data technologies such as Apache Spark.
- Knowledge of financial markets and the unique challenges of handling market data.
- Experience with containerization technologies like Docker and orchestration with Kubernetes.
- Familiarity with load balancing principles and tools.
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