Data Architecture Lead

Salary $400-600k
LocationNew York
Employment type Permanent
Discipline

Job description

Position: Enterprise Data Architecture Lead Centiva Capital, LP, a multi-strategy, multi-manager hedge fund is looking for a Data Architecture Lead to join their team. The firm trades globally across multiple asset classes and investment approaches. The environment is fast paced and we are growing rapidly. We are seeking an experienced Enterprise Data Architect Lead to join our team at Centiva Capital Management. The primary focus of this role will be on the buildout and operations of our next generation security master system. In addition to designing and implementing robust data architectures, the successful candidate will lead the security master development team, overseeing the quality, performance, and scalability of the teams’ deliverables. The ideal candidate will possess deep expertise in data architecture, data modeling, and data management within the financial services sector, particularly in a hedge fund environment.

Data Architecture and Design: Lead the design and implementation of the enterprise data architecture, ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Ensure the data architecture supports high availability, performance, and scalability requirements.
Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. Oversee the day-to-day operations and agile SDLC of the secmaster team, ensuring project deadlines and deliverables are met. Foster a collaborative and innovative team environment, encouraging continuous learning and improvement.
Data Modeling and Management: Create and maintain logical and physical data models for the security master and related systems in conjunction with business stakeholders. Establish and maintain data governance practices to ensure data quality, consistency, and security. Define data management policies and procedures, including data lineage, data cataloging, and data retention. Monitor and optimize data processes to ensure efficient data integration, transformation, and storage.
Technology Leadership: Evaluate and recommend data management tools and technologies to enhance the data architecture. Stay current with industry trends and emerging technologies in data architecture and data management. Provide technical guidance and mentorship to data engineers and other team members.