Data Governance Engineer Jobs in Rhode Island (NOW HIRING)

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