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Lead Architect, Database & Data Automation
Value Partners LimitedHong Kong9 天前
职位描述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, into unified data lakes / warehouses. 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. Define dataernance 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. 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. 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.
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 firm’s AIGC applications.
- Implement data sharding, replication, and disaster recovery strategies to ensure system reliability in critical trading environments.
2. Data Automation & Pipeline Optimization
3. Cross-functional Collaboration
4. Technical Leadership
Job Requirement : 1. Education ：
BS inputer Science, Data Engineering, or related fields.
2.Experience :
3.Technical Skills :
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