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. 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 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco : Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles : Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City : This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer . Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout Motors is committed to compliance with all ap p licable fair employment p ractice laws . If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected].

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