Data Architect

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