Top Tech Jobs & Startup Jobs in Charlotte, NC

The Sr. Solutions Architect collaborates with customers to design scalable data architectures, drives technical discussions, and builds customer engagements to promote Databricks technologies.

The Industry Lead Solutions Architect will define and execute Databricks' strategy in Financial Services, engaging with partners and customers, overseeing technical assets, and training Solutions Architects.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

The Strategy & Execution Manager leads AI-driven operational strategies, optimizes services and enablement programs, and develops automated solutions while managing cross-functional initiatives for business growth.

Lead a global organizational development agenda focused on interviewer enablement, hiring excellence, career frameworks, and AI-driven org design. Partner with senior leaders, Talent Acquisition, and People teams to diagnose complex people problems, design scalable solutions, drive adoption across thousands of employees, and measure program impact. Build certification, assessment, and success-profile systems to raise and sustain the hiring bar as the company scales.

The role involves managing and closing enterprise sales accounts in Manufacturing, working with executives, and driving revenue targets while using a solution-based selling approach.

The Strategic Customer Advisor will engage with executives to drive deal outcomes, coach teams, elevate sales strategies, and influence through leadership in high-stakes environments.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.