Top Tech Jobs & Startup Jobs in Chicago, IL

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate ML/AI models, and guide deployment. Partner with customers, engineering, product, project managers, and support teams to deliver measurable outcomes. Train customers, resolve implementation issues, contribute reusable frameworks, and influence the product roadmap. The role requires enterprise stakeholder management, technical project delivery, and 20% customer travel.

Build and productionize data and AI solutions for federal government customers using Databricks. Lead architecture, design, and implementation of end-to-end data engineering, machine learning, and application systems. Deliver secure, scalable production architectures, integrate customer systems, guide technical projects, train customers, and collaborate with engineering, product, support, and customer stakeholders. Contribute reusable frameworks and accelerators while managing technical delivery and customer relationships.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, ML/AI model integration, and user-facing applications, contributes reusable assets, and collaborates cross-functionally to deliver measurable outcomes and operationalized deployments for enterprise clients.

Lead day-to-day operation and maturation of Databricksprivacy compliance program, develop AI-enabled controls, run privacy by design and risk assessments, manage data subject rights, contracts (DPAs, SCCs), regulatory engagement, incident response, policy development, cross-functional training, and continuous process improvement across the company.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads architecture, implements data pipelines, ML/AI model integration, CI/CD deployments, and reusable accelerators while collaborating with customers and cross-functional teams to deliver measurable business outcomes.

Lead and develop a team of Account Executives serving Commercial customers. Drive platform adoption, consumption growth, expansion, net retention, and workload discovery through strategic account planning and executive relationships. Coach sellers on value-based selling, cross-functional orchestration, upselling, churn mitigation, forecasting, and pipeline management. Translate technical architectures into measurable business outcomes and ROI while supporting high-impact expansion opportunities through occasional travel.

Leads AI/ML architecture strategy for customers, designing production-grade solutions involving RAG, agentic systems, guardrails, evaluation, and observability. Advises senior technical stakeholders, drives Databricks adoption and consumption, leads competitive technical engagements, coordinates cross-functional resources, and influences product direction. Requires strong Python and SQL skills, distributed data architecture expertise, public-cloud deployment experience, and willingness to travel up to 30%.

Drive enterprise sales growth for Databricks across Fortune 500 CMEG accounts. Build relationships with executives and decision-makers, expand platform adoption into new business units, exceed pipeline and revenue targets, manage forecasts in Salesforce, and use value-based selling to communicate the benefits of Databricks’ data and AI platform. The role requires enterprise sales expertise, technical fluency in big data, cloud, SaaS, analytics, and AI, and the ability to manage strategic accounts independently.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Manage strategic Fortune 500 and enterprise accounts for Databricks’ Data Intelligence Platform. Build executive relationships, drive value-based growth, expand usage across business units, exceed pipeline and revenue targets, forecast in Salesforce, and lead solution-based sales involving big data, cloud, SaaS, analytics, and AI.