Lead, Data Architect

What you’ll do

We are seeking a Senior Enterprise Data Architect to lead the design and evolution of our enterprise data ecosystem. This role will define our data strategy, lead a newly formed data governance office, define standards and guidelines for our data platforms, and enable scalable analytics and AI capabilities across the organization. 

This role ensures scalable, secure, and high-quality data solutions across the organization, aligning data initiatives with business objectives and technology roadmaps.

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Enterprise Data Architecture 

• Define and maintain the enterprise data architecture vision, roadmap, and standards 
• Design conceptual, logical, and physical data models across domains 
• Establish data integration, storage, and access patterns (data lakes, warehouses, lakehouse) 
• Align data architecture with enterprise architecture and business strategies 
• Lead and own MDM (Master data Management) enabled by Stibo Systems Platform 

Data Governance & Quality 

• Establish and enforce data governance frameworks, policies, and standards 
• Partner with data stewards to improve data quality, lineage, and metadata management 
• Ensure compliance with regulatory and security standards (e.g., GDPR, HIPAA, CCPA) 
• Lead the newly established DMO (Data Management Office) 

Data Platforms & Technology 

• Architect modern data platforms (cloud-first preferred: Azure, AWS, Databrics, Stibo Sistems) 
• Lead design of batch and real-time data pipelines (ETL/ELT, streaming) 
• Evaluate and select data tools, platforms, and technologies 
• Optimize performance, scalability, and cost-efficiency 

Integration & Interoperability 

• Design enterprise integration patterns (APIs, messaging, event-driven architectures) 
• Ensure seamless data exchange between applications, SaaS, and legacy systems 
• Define canonical data models and data domains 

Leadership & Collaboration 

• Provide technical leadership to data engineers, modelers, and architects 
• Partner with business stakeholders, product teams, and IT leadership 
• Mentor junior architects and promote data-driven culture 

Analytics & AI Enablement 

• Enable self-service analytics, BI, and advanced analytics capabilities 
• Support AI/ML initiatives through well-architected data pipelines and feature stores 
• Ensure data is accessible, trustworthy, and usable 

Location & Travel Expectations:

• This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 
• 12+ years of experience in data architecture, engineering, or related roles 
• 5+ years designing enterprise-scale data solutions 
• Deep expertise in:  
• Data modeling (dimensional, normalized, Data Vault) 
• Data warehousing and lakehouse architectures 
• ETL/ELT tools (e.g., Azure Data Factory, Informatica, or similar) 
• Master data Management 
• Strategic thinking and roadmap development 
• Strong communication and stakeholder management 
• Systems thinking and problem-solving 
• Ability to balance governance with agility 
• Leadership and mentoring capability 

Deliverables / Success Metrics 

• Enterprise data architecture roadmap adoption 
• Data quality and accessibility improvements 
• Successful implementation of modern data platform(s) 
• Reduced data redundancy and improved consistency 
• Business value from analytics and data initiatives 

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $160,000.00 - $192,500.00   

Internal leveling code: IC7