Top Tech Jobs & Startup Jobs in Charlotte, NC

Customer-facing senior engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads architecture, implements data pipelines, integrates ML/AI models and apps, manages technical delivery, and builds reusable assets while embedding with enterprise customers to drive measurable outcomes.

Build and maintain scalable AWS infrastructure, observability platforms, Kubernetes workloads, Infrastructure as Code, and CI/CD pipelines. Develop automation tools and AI-assisted workflows, establish secure logging, metrics, and tracing standards, optimize cloud environments, and collaborate with security and engineering teams. The role also includes troubleshooting, documentation, code reviews, operational playbooks, and knowledge sharing.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Lead technical strategy for financial services customers by designing scalable data, AI, streaming, and analytics architectures. Own customer engagements from discovery through production deployment, advise senior technical stakeholders, drive Databricks adoption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to translate complex architectures into business value.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.

Lead Databricks’ global Genie sales organization, driving revenue growth, pipeline, enterprise adoption, and repeatable sales plays. Recruit and develop specialist sellers, coach complex enterprise deals, engage executive stakeholders, and partner with account teams, product, engineering, marketing, cloud providers, systems integrators, and ISVs. Shape product and go-to-market strategy while positioning Genie as a conversational analytics and enterprise data intelligence platform.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, and drive Databricks adoption and consumption. Advise senior technical stakeholders, lead architecture discussions, build custom solutions for competitive opportunities, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL skills, distributed data systems expertise, public-cloud deployment experience, and the ability to translate technical concepts into business value.

Leads technical strategy for customer accounts by designing scalable data, AI, streaming, and analytics architectures. Advises senior technical stakeholders, drives Databricks adoption and consumption, supports competitive technical wins, coordinates cross-functional resources, and provides product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to communicate architecture and business value effectively.

Lead technical strategy for customer accounts by designing production-grade data, AI, streaming, and analytics architectures. Advise senior technical stakeholders, drive Databricks adoption and consumption, demonstrate competitive differentiation, orchestrate cross-functional resources, and provide product feedback. The role requires strong Python and SQL skills, distributed data systems expertise, public cloud deployment experience, and the ability to communicate technical solutions to technical and executive audiences.