Data Architecture Lead

Data Architecture Lead Overview

We are seeking a Data Architecture Lead to join a multi-strategy, multi-manager hedge fund based in London. This firm operates globally across various asset classes and investment strategies. The primary focus of this role will be the development and operation of a next-generation security master system, alongside designing and implementing robust data architectures.

Key Responsibilities

• Lead the design and implementation of the enterprise data architecture, ensuring it aligns with the overall business strategy and objectives.
• Develop and maintain the data architecture for the security master system, including creating data models, metadata, and data flow diagrams.
• Manage and lead the security master development team of Python/SQL engineers, providing guidance, mentorship, and support to team members.
• Establish and maintain data governance practices to ensure data quality, consistency, and security.
• Define data management policies and procedures, including data lineage, data cataloguing, and data retention.
• Monitor and optimize data processes to ensure efficient data integration, transformation, and storage.
• Evaluate and recommend data management tools and technologies to enhance the data architecture.

Qualifications

• A minimum of 7-10 years of experience in data architecture, data modeling, and data management, preferably within the financial services industry.
• Deep experience with security master systems in a hedge fund or investment management context.
• Extensive knowledge of financial instruments across various asset classes, including equities, options, futures, and credit products.
• Strong experience with the SQL Server platform and T-SQL querying.
• Familiarity with cloud data platforms such as AWS and Azure, as well as big data technologies like Kafka, Spark, Databricks, and Snowflake.
• Expert-level knowledge of building ETL processes in Python.
• Expert-level knowledge of performance tuning and optimization in a Python and SQL Server environment.

Benefits

• Highly competitive compensation.
• Flexible hybrid working model.

Degree Requirement: Not Specified

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