Job description:
1. Database Architecture Design
- Lead the design of high-performance, distributed database systems (SQL/NoSQL) optimized for financial data processing, including market feeds, portfolio analytics, middle-/back-office STP and client reporting.
- Implement Data Quality Monitor, and Unified Reporting Facility.
- Provide a data portal to allow self service for firms all personnel.
- Provide data infrastructure to support firms AIGC applications.
- Implement data sharding, replication, and disaster recovery strategies to ensure system reliability in critical trading environments.
2. Data Automation & Pipeline Optimization
- Develop automated ETL workflows using tools like Apache Airflow or Kafka, integrating with cloud-native services (AWS Glue/Azure Data Factory).
- Streamline data ingestion from heterogeneous sources (Bloomberg, etnet, Morningstar, custodian/trust,..etc) into unified data lakes/warehouses.
3. Cross-functional Collaboration
- Partner with Investment Management (IM) teams to deploy time-series databases for investment research, quantitative strategy, risk modeling and algorithmic dealings.
- Collaborate with cybersecurity teams to enforce GDPR/HKMA, and mainland China cross-boarder data privacy standards.
4. Technical Leadership
- Define data governance frameworks and metadata management strategies for enterprise-wide consistency.
- Lead implementing firm-wide data quality monitoring initiatives.
- Mentor junior engineers on best practices for AI data processing, database tuning, query optimization, and cost-efficient cloud resource allocation.
Job Requirement:
1.Education：
BS in Computer Science, Data Engineering, or related fields.
2.Experience:
- 12+ years of dataflow architecture and automation in financial services.
- Proven expertise in heterogeneous data integration and automation,with scaling petabyte-level financial data systems.
3.Technical Skills:
- Mastery of PostgreSQL/Oracle, MongoDB/Cassandra, and columnar databases like ClickHouse.
- Proficiency in Python/Java, Spark/Flink, and infrastructure-as-code tools (Terraform/Ansible).
- Deep knowledge of cloud-native architectures (AWS RDS/Azure Cosmos DB).
- Familiarity with MiFID II, SFTR, or other financial data reporting regulations.