Enterprise Architect

1. Enterprise Architecture & Solution Design

• Define end-to-end enterprise data and AI architectures across:

• Data platforms (Fabric, Databricks)
• Data architecture (domains, medallion, real-time/streaming)
• AI enablement and consumption layers
• Security, compliance, and governance models

• Translate business goals into scalable, future-state architectures
• Ensure alignment across infrastructure, data, AI, and governance

2. Pre-Sales & Client Engagement

• Lead discovery sessions, strategy workshops, and innovation hubs
• Build and present vision-driven architectures that customers buy into
• Develop high-level solution proposals, estimates, and roadmaps
• Act as a trusted advisor to client executives and stakeholders

3. Transition to Delivery & Ongoing Ownership

• Transition from pre-sales into delivery oversight
• Ensure architectural vision is executed correctly across engagements
• Serve as a technical program lead across multiple accounts
• Drive follow-on opportunities and long-term client growth

4. Cross-Domain Technical Leadership

• Understand and integrate across:

• Cloud infrastructure & networking (private endpoints, security models)
• Data architecture & engineering patterns
• AI/ML applications and use cases
• Data governance frameworks & tooling

• Provide guidance to solution architects and engineers
• Bridge the gap between deep technical specialists and business stakeholders

Do you have experience in Project stakeholder communication?, We are seeking an experienced Enterprise Architect who can operate at the intersection of strategy, pre-sales, and delivery execution. This role requires someone who can design enterprise-wide data and AI architectures, communicate a compelling vision, and lead customers from initial concept through implementation., * 8-12+ years in:

• Enterprise architecture, solution architecture, or equivalent
• Data platforms and cloud (Azure preferred)

• Proven experience in both pre-sales and delivery leadership roles

Technical Expertise

• Strong experience in at least one major data platform:

• Microsoft Fabric or Databricks (deep expertise in one required)

• Working knowledge across:

• Data engineering and analytics architectures
• AI/ML concepts and applications
• Cloud infrastructure and security
• Data governance and compliance

• Broad understanding of the Microsoft ecosystem preferred

Soft Skills (Critical for Success)

• Exceptional communication and storytelling ability
• Ability to sell a vision and gain stakeholder buy-in
• Strong executive presence and relationship-building skills
• Highly adaptable-able to learn new technologies quickly
• Comfortable operating in ambiguous, fast-paced environments

• Broad, not narrow - able to span multiple domains rather than specialize in just one
• Equally comfortable in the boardroom and the architecture diagram
• A "translator" between business leaders and deep technical teams
• Someone who can:

• Design the vision
• Sell the vision
• Ensure the vision is executed

What Success Looks Like

• Wins new business through compelling architecture and communication
• Builds trusted advisor relationships with clients
• Successfully leads multi-phase enterprise data/AI transformations
• Drives repeat business and expanded engagements

Key Differentiator of This Role

This is not a pure technical architect role.Unlike traditional engineers or platform specialists, this role:

• Operates at the enterprise level across multiple domains
• Combines pre-sales, delivery, and client leadership
• Requires strong personality, influence, and communication, not just technical depth