Enterprise Data Architect

Charlotte, North Carolina (Commutable from: South Carolina, Belmont, Huntersville, Mint Hill, Matthews, Fort Mill) Hybrid working – 3 Days Onsite / 2 Days From Home $140,000 - $160,000 ($160,000 - $200,000 All In) + Training + Progression + Annual Bonus + Paid Overtime + $25k Relocation Assistance + Half Day Friday + Excellent Company Benefits Are you a Data Architect looking to put your own stamp on a market-leading organization, by having full ownership of the data architecture, enforcing standards, and progressing your career into management down the line? Do you want to showcase technical aptitude and strategic thinking at a globally renowned business, whilst defining the companies data roadmap, mentoring junior staff, and working closely with key executives? This is a fantastic time to join this ever-growing market‑leader and shape their architectural vision. They are renowned for looking after their employees by supporting both educational and personal development. Their current CEO started off as an intern at the company, and is one of many success stories within the organization. In this unique role, you will define and guide the organization’s enterprise data architecture while acting as a technical advisor to senior and executive stakeholders, translating complex concepts into actionable business outcomes. The role covers discovery through delivery, from understanding existing data sources and ownership to designing data models, reference architectures, and governance standards. You will also contribute towards AI initiatives, helping shape the long‑term data strategy and roadmap. This role would suit a Data Architect looking to shape an innovative business, by taking full ownership of the data architecture, mentoring junior staff, and eventually stepping into a leadership role. The Role: Define and guide the organization’s enterprise data architecture Act as a technical advisor to senior and executive stakeholders, by translating complex concepts into actionable business outcomes Design and own data models, reference architectures, and governance standards The Person: Data background, including data modelling, data warehousing, data governance, and understanding security best practices Communication and strategic thinking skills #J-18808-Ljbffr