Lead, Data Architect

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 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 c