Data Technology Lead
1 month ago
Our company, Millennium Management, is seeking a highly skilled and experienced individual to join our team as a Data Technology Lead in Reference Data Technology. As a Data Technology Lead, you will be responsible for supporting an operations team in a high-pressure environment where timeliness and quality of data are of utmost importance. The ideal candidate will have a strong technical background in architecture and design, with full-stack development experience in Angular and Java. In addition to technical prowess, the candidate will need to be able to communicate effectively with Operations users and translate their requirements into appropriate solutions. A candidate who has previous experience in developing solutions to automatically detect and present options to fix anomalies in datasets will have the advantage.
Key Responsibilities
Lead a team of developers and provide technical guidance and mentorship
Support the operations team in managing and maintaining reference data systems
Ensure timely and accurate delivery of high-quality data
Collaborate with stakeholders to understand requirements and develop efficient solutions
Analyze data quality issues and develop strategies to improve data accuracy and integrity
Utilize techniques to identify anomalies in existing datasets and come up with solutions to address
Drive process improvements to enhance data quality and operational efficiency
Stay updated with industry trends, emerging technologies, and best practices related to reference data technology
Requirements
Proven experience supporting an operations team in a high-pressure environment
Strong technical background with deep expertise in Angular and Java development
Strong SQL skills
Experience leading a team of developers
Proficiency in data quality analysis and management techniques
Familiarity with Artificial Intelligence methodologies for detecting and evaluating data quality anomalies
Solid understanding of reference data systems and their importance in business operations
Excellent problem-solving skills and ability to think critically
Effective communication and leadership abilities
Strong organizational and time management skills
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Preferred Qualifications
Advanced knowledge of AI techniques and frameworks for data quality analysis
Experience in implementing data quality solutions and frameworks
Understanding of data governance principles
Familiarity with big data technologies and tools
Knowledge of financial or regulatory systems and reference data domains
Python skills would be an asset
If you are a highly motivated individual with a passion for leading teams, driving technical excellence, and ensuring the accuracy and quality of reference data, we would love to hear from you.
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