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Leads complex enterprise architecture engagements, technical and consumption strategy, executive customer relationships, platform adoption, competitive evaluations, and AI/data solutions. Serves as a Databricks technical authority, orchestrates cross-functional teams, mentors solutions architects, develops competitive strategies, and contributes to field engineering thought leadership. Responsibilities span enterprise migrations, real-time systems, lakehouse platforms, data governance, and AI/ML at scale.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design decisions, data pipelines, applications, ML/AI integrations, and end-to-end deployment. Partner with customers, project managers, architects, engineering, product, and support teams to deliver measurable outcomes. Guide technical adoption, train stakeholders, resolve implementation issues, and create reusable frameworks. The role requires customer empathy, enterprise stakeholder management, technical project delivery, and travel to customers approximately 20% of the time.

Lead Databricks-centric customer engagements delivering data engineering, data science, and cloud solutions. Design and deploy end-to-end data architectures, implement and optimize Apache Spark workloads, guide migrations, provide escalated operational support, manage technical project delivery, document/whiteboard solutions, and collaborate with stakeholders. Travel to customers ~20%.

Drive net-new enterprise sales of Databricks’ cloud data platform to digital-native accounts. Develop account strategies, engage buying centers, identify use cases, communicate technical and business value, orchestrate internal teams, negotiate, and close deals. The role requires SaaS, PaaS, cloud, or big data sales experience, executive customer relationships, quota achievement, and success winning new business.

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%.

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, proofs of concept, and platform demonstrations. Build production-quality data solutions and reusable technical assets using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives to develop account strategies, expand platform adoption, and communicate Databricks’ differentiation.

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.