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 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.