Description

What You Will Do

  • Provide Architectural leadership and vision for Solv’s Data Platform
  • Develop and maintain architectural roadmap for products and services plus ensuring alignment with the business and enterprise architecture strategies and standards
  • Able to develop, present and explain the value and vision of proposed architectures and solutions to a wide range of audience
  • Engage with Data Platform customers/partners to understand their needs and provide suggestions/guidance on what data platform techniques are appropriate 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, and then hand over to (may lead) a small group of developers to finish
  • Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
  • Provide mentorship and help team growth especially on technical side
  • Contribute to the Data Platform strategies and roadmap development to meet business objectives with existing or emerging technologies
  • Collaborate with the key stakeholders, other product development groups and software vendors to identify and define solutions for complex business and technical requirements
  • Ability to translate business concepts to technical terms

What You Possess

  • Experienced technology leader with over 12 years experience with atleast 4+ years of cloud based distributed computing and platform architecture experience with deep technology expertise in the following:
    • Architecture, design and development of large scale platforms
    • Deep knowledge and hands on experience on big data and cloud computing technologies including Hadoop, Spark, Hive, HBase, etc
    • Experience in processing massive data volume(petabyte scale)
    • SQL/NoSQL databases
    • Extensive hands on design & coding experience with Java, Python or equivalent
    • 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
  • Hands-on experience in multi-generation technology planning, convergence and rationalization as it relates to data architecture and governance
  • Demonstrable experience implementing large scale, cloud based(AWS) enterprise level data lakes, that cater to heterogenous use cases, including Data Science, AI/ML, Advance analytics, Data Management, Data as a Service and Reporting

Nice To Have

  • Complex Microservices based architecture design experience
  • Experience on application or platform instrumentation, measurement, log data processing and monitoring
  • Banking and Commerce industry experience is a plus