Data & AI Architect

Education / Experience:

• Bachelor Degree in Computer Science/Engineering or equivalent
• 4+ years of experience in designing scalable data-centric architecture with at least 2 years on AI/ML
• Experience in Data Analytics Platforms, Data Engineering, Data Visualization & AI/ML adaption and deployment
• Familiarity & Strength with one or more solutions such as:
  - Data Platforms & Analytics solutions (Cloudera, Denodo, Databricks, Talend, Tableau, etc),
  - AI/ML Tools/Platforms (RunAI, H2O, Hadoop, Spark, etc),
  - Cloud Data Services (Azure, AWS, etc),

• Familiarity with IM8 Framework with Data governance & security is a plus and have experiences working in Public Sector Infrastructure
• Proven track record in managing multi-million dollar projects in the government and /or commercial sectors
• Possession of one or more of networking professional certifications such as CDMP, Azure Data Engineer or equivalent

Key Responsibilities:

• Engage with customers to understand data and AI requirements
• Design and propose Enterprise Data/AI Platforms with AI/ML Tools (e.g., data lakes, warehouses, pipelines, Sparks, Hadoop)
• Conduct product demos and presentations
• Develop and deliver technical proposals and quotes
• Collaborate with sales teams to pursue opportunities
• Stay updated on industry trends and competitor products
• Provide technical support and product positioning
• Partnership Management with Key Vendors
• Work with pre-sales from different expertise to create a comprehensive solution
• Any other duties/projects assigned

Skill sets:

• Strong in Enterprise Data & architecture design, including SOA architecture, security, best practices and knowledge of emerging trends
• Sales or presales experience
• Passion for infrastructure and strong problem-solving & analytical skills
• Large-scale program management of multi-service line teams, including strong project management and communications skills, service delivery, client relations, planning, scheduling, budgeting, financial management, resource management, quality assurance and situational negotiations
• Good presentation skills, communication, negotiation, interpersonal skills and customer-service orientation
• Hands on, self-directed executive who plans, prepares and executes professionally
• Good team player and able to work on assignment independently
• Ability to prioritize and manage tight deadlines

Skills

Enterprise IT Infrastructure, Technical Product Support, Big Data, Pipelines, Architect, Technical Proposals, Liaise With Sales Team, Data Governance, Apache Hadoop, Vendor and Partnership Management, Data Lake, Product Demonstration, competitor updates, Data Architecture, Information Architecture, Customer Satisfaction