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Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

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

Sell Databricks' Data Intelligence Platform into enterprise telco accounts by building executive relationships, expanding footprint, driving pipeline and revenue, and managing forecasts and customer details in Salesforce. Advocate AI/Big Data solutions, prioritize opportunities, and exceed quotas while collaborating internally and with system integrators.

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.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.

Lead the AI strategy and roadmap for a scaled customer enablement agent suite: define data inputs, retrieval, agent behaviors, and evaluation loops; drive field rollout and adoption; structure knowledge for retrieval; define signals and analytics for account health; partner with engineering to embed enablement insights into field tools.

Hunt and close net-new enterprise accounts for Databricks by developing account strategies, engaging buying centers, articulating big data/cloud value, orchestrating cross-functional teams, and exceeding sales quotas.

Hands-on product manager who designs, prototypes, and ships AI-powered GTM agents on Databricks. Build workflows and tools in notebooks and SQL, define agent behavior and governance, run experiments/A-B tests, own a multi-quarter roadmap, and iterate from structured seller feedback to improve sales processes end-to-end.

Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase within Healthcare & Life Sciences. Own quota, build pipeline, recruit and coach specialists, execute developer/platform sales motions, engage CIO/CTO-level customers and partners, and relay field feedback to Product and GTM teams.