**Provide architectural and technical leadership for the CitiVelocity Data Platform.**

**Design & develop various data processing pipelines, data access services and APIs**

**Able to develop and articulate technical architecture and solutions as well as explain the competitive advantages of various technology alternatives to a broad audience entailing members within and outside the organization with backgrounds of being highly technical leaders to business partners with strong business and data acumen.**

**Build processes and tools to maintain high data availability, quality, and maintainability.**

**Ability to translate business concepts to technical terms.**

**Collaborate with key stakeholders, other product development groups and software vendors to identify and define solutions for complex business and technical requirements.**

**Engage with business partners to understand their needs and provide suggestions/guidance on appropriate solutions to solve their problems with pros/cons articulated clearly**

**Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture that can be fully built-out once validated.**

**Provide mentorship and help team growth**

**Qualifications:**

**Experienced technology leader with a minimum of 8+ years of software development experience including 5+ years of data application or data platform architecture experience with deep technology expertise in the following:**

**Architecture design and development of large scale data platforms and data application with simple solutions**

**Extensive hands on design/coding experience/skills in languages Java and preferably Python**

**Deep knowledge and hands on experience on big data and cloud computing technologies including Spark, Hive, HBase and preferably in AWS/Snowflake**

**Expertise in Spring Boot Framework for developing APIs**

**Expertise in Kafka and Elastic Search**

**Expertise in design and management of complex data structures and data processes**

**Expertise in metadata management, ETL processing, reference data management.**

**Expertise in streaming and batching data processing**

**Strong on elegant coding, can write very solid prototypes or core components quickly.**

**Strong service architecture and development experience with high performance and scalability**

**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.**

**Strong at technical goal setting for a project with actionable success metrics. Good knowledge and experience on measuring a service from user experience angle.**

**Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones.**

**Good verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate architectural issues and concepts to multiple organization levels and executive management.**

**Strong skills on mentoring/growing junior talent**

**Bachelor's degree in Computer Science or related technical discipline required; advanced degree is a plus.**

**Education:**

**Bachelor's degree in Computer Science or related technical discipline required; advanced degree is a plus.**

**This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.**