Top Tech Jobs & Startup Jobs in Chicago, IL

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.

Perform inbound and outbound prospecting to build pipeline, partner with sales to develop territory strategy, identify Databricks use cases to grow consumption, and deliver a strong customer experience through solution-focused outreach and follow-up.

The Outbound Sales Development Manager will lead BDR team recruitment, coaching, and pipeline generation strategy, collaborating with sales and marketing.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

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.

Serve as a technical advisor for Databricks on GCP: design and deploy secure, scalable enterprise deployments, guide customers through architecture and administration, build PoCs, support pre-sales, and share expertise via tutorials and community engagement.

Customer-facing technical leader guiding enterprise customers through cloud data engineering and lakehouse transformations. Architect and optimize large-scale ETL/streaming pipelines, perform performance and load testing, support pre-sales POCs and workload sizing, and drive adoption through workshops and community engagement.

Serve as a trusted technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures. Provide platform administration, networking and identity guidance, build PoCs for pre-sales, automate deployments with IaC, mentor peers, and promote adoption via community content and events.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.