Lead, Data Architect
Scout Motors
| Company | Scout Motors |
| Category | Data & Analytics |
| Location | Charlotte |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 12 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.
But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.
At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.
Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! 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
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