Lead, Data Architect

Scout MotorsCharlotte, NC
Onsite

About The Position

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.

Requirements

  • 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)
  • Deep expertise in: Data warehousing and lakehouse architectures
  • Deep expertise in: ETL/ELT tools (e.g., Azure Data Factory, Informatica, or similar)
  • Deep expertise in: 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
  • Integrity, curiosity, resourcefulness, and a positive attitude
  • Comfortable with change and flexible in a fast-paced, high-growth environment
  • Collaborative approach to achieve ambitious goals

Nice To Haves

  • Stibo Systems Platform
  • Azure, AWS, Databrics

Responsibilities

  • 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
  • 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)
  • Architect modern data platforms (cloud-first preferred: Azure, AWS, Databrics, Stibo Systems)
  • 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
  • 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
  • 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
  • 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

Benefits

  • 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
  • Annual performance bonus program
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service