We're Hiring: Data/AI Architect (Pre-Sales)
We are looking for an experienced Data/AI Architect to design scalable enterprise data and AI solutions, support pre-sales activities and engage customers on complex digital transformation opportunities.
Key Responsibilities:
- Engage customers to understand their data, analytics and AI requirements
- Design enterprise Data and AI platforms, including data lakes, warehouses, pipelines and AI/ML environments
- Develop solution architectures, technical proposals, quotations and presentations
- Conduct product demonstrations and communicate technical solutions clearly
- Partner with sales teams to identify and pursue business opportunities
- Position solutions based on customer needs, industry trends and competitor offerings
- Manage relationships with key technology vendors and partners
- Collaborate with pre-sales specialists to develop comprehensive end-to-end solutions
- Provide technical guidance throughout the sales and solution-delivery lifecycle
Requirements:
- Bachelor's degree in Computer Science, Engineering or a related discipline
- Minimum 4 years of experience designing scalable, data-centric architectures
- At least 2 years of hands-on experience with AI/ML solutions
- Experience in data engineering, analytics platforms, data visualisation and AI/ML deployment
- Strong knowledge of enterprise architecture, SOA, security and industry best practices
- Previous sales or pre-sales experience
- Proven experience managing large-scale or multi-million-dollar projects
- Strong presentation, communication, negotiation and stakeholder-management skills
- Ability to work independently, manage priorities and deliver within tight deadlines
Technical Experience:
Hands-on knowledge of one or more of the following:
- Databricks, Cloudera, Denodo, Talend or Tableau
- Run, H2O.ai, Hadoop, Spark or similar AI/ML platforms
- Microsoft Azure, AWS or other cloud data services
- Data lakes, data warehouses, ETL pipelines and enterprise analytics solutions
Added Advantages:
- Experience supporting public-sector infrastructure projects
- Knowledge of the IM8 framework, data governance and security requirements
- Certifications such as CDMP, Microsoft Azure Data Engineer or equivalent
- Experience managing multi-service-line teams, budgets, resources and client delivery
