Architecture design and development of large-scale data platforms and data application with simple solution.
Expertise in design and management of complex data structures and data processes
Expertise in metadata management, ETL processing, and reference data management
Deep knowledge and hands on experience on big data and cloud computing technologies including Hadoop, Spark, Hive, HBase, etc.
Experience utilizing cloud data platform services (especially Microsoft Azure)
Technical background in data with deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required. Experience in statistics, data mining, machine learning and operational excellence of production systems is a plus.
Aptitude for critical and analytical thinking as well as the capacity to think “out-of-the box”
Ability to translate business concepts to technical terms. Understands and communicates company goals and objectives
Capable of formulating strategy and moving strategic plans into actionable roadmaps
Ability to interact, influence, and communicate across all organizational levels including C-level executives, subject matter experts and technical resources
Ability to solve the most complex technical issues while articulating the complexities in developing or delivering technology across multiple member firms
Excellent communication, presentation and facilitation skills
Autonomous, positive thinker, highly flexible and willing to work independently as well as part of a multi-disciplinary team
Minimum 12+ years of experience designing, planning and implementing data management capabilities including 5+ years of data application or data platform architecture
Experience leading or playing a significant role in data governance activities (e.g., developing data standards, taxonomies, metadata management, etc.) preferred
Bachelor’s degree in Computer Science or related field, Master’s degree or MBA a plus.
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