Description Enterprise Architect (Enterprise / Pre-Sales Hybrid Role) Role Overview 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. Success in this role is as much about influence, communication, and relationship-building as it is about technical expertise. Key Responsibilities 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 5. Customer-Facing Leadership • Lead on-site engagements, executive briefings, and workshops • Represent the company in strategic client interactions • Build trust through clear communication and strong executive presence • Drive customer adoption and satisfaction Requirements Required Qualifications Core Experience • 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 Ideal Candidate Profile The ideal candidate is: • 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