Big Data Architect

• Articulate business and data requirements from business analysts across the various functional and business areas and then design/manage enterprise big data architecture, data governance, and automated data
  
• Hands-on technical big data architect with extensive experience in designing big data solutions using open source and cloud native
  
• Technical line management of remote big data engineering team (10-15). Responsible for engineering excellence, resource management, hiring, coaching engineers, and timely delivery of committed
  
• Create and maintain big data architectural & design artefacts to ensure the up to date documentation for the relevant program and projects is readily available; ensuring knowledge is
  
• Contribute to the evolution and planning of the enterprise architecture from data perspective by ensuring solutions are developed inline with
  
• Collaborate with a wide range of stakeholders to identify and define customer needs
  
• Involve in partner selection and partner resource selection to ensure that the right partner/resource are selected who would be assisting the company in development &
  
• Be the voice of the customer in the context and value of the business requirements
  
• Manage the Technical Product Backlog of epics and features and drive prioritization
  
• Support data lake design, development, release schedule and maintain a development road map
  
• Ability to clearly articulate pros and cons of various technologies and platforms and architectural options to be able to document use cases, solutions, and recommendations
  
• Advocate and champion the DataOps within the business, will be responsible that the existing data lakesolution running smoothly on data to day
  
• Maintain your own personal skills and knowledge in the field of enterprise architecture and your functional domain specialization. Actively contributing to the definition of the overall standards for design, development/configuration (including tools) and related
  
  

Requirements

• Demonstrable experience owning and developing big data solutions, using Hadoop, Hive/Hbase, Spark, Databricks, ETL / ELT for 5+ years
  
• 10+ years of Information Technology experience, preferably with Telecom / wireless service
  
• Experience in designing data solution following Agile practices (SAFe methodology);
  
• designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized
  
• DataOps mindset: allowing the architecture of a system to evolve continuously over time,
  
• while simultaneously supporting the needs of current users
  
• Create and maintain Architectural Runway, and Non-Functional
  
• Design for Continuous Delivery Pipeline (CI/CD data pipeline) and enables Built-in Quality & Security from the
  
• To be able to demonstrate an understanding and ideally use of, at least one recognized architecture framework or standard TOGAF, Zachman Architecture Framework
  
• The ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers
  
• Demonstrated ability to work collaboratively
  
• Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, )
  
• Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision
  
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