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Lead technical strategy for Databricks customers from discovery through production deployment and growth. Design scalable data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse solutions. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, drive platform adoption, and provide product feedback. The role requires Python and SQL coding, public-cloud deployment experience, strong communication, and 30% customer travel.

Leads end-to-end technical strategy for customer accounts, designing scalable data engineering, AI/ML, streaming, and real-time analytics solutions on Databricks. Advises senior technical stakeholders, drives platform adoption and consumption growth, leads architecture and design discussions, builds competitive demonstrations, coordinates cross-functional resources, and provides product feedback. Requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent communication skills.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments. Designs scalable solutions across data engineering, machine learning, AI, real-time analytics, distributed data systems, streaming, lakehouse architectures, and cloud platforms. Advises senior technical stakeholders, drives competitive technical wins, coordinates cross-functional resources, develops technical specialization, and influences product direction through customer feedback.

Lead end-to-end technical strategy for customer accounts, including architecture discussions, scalable data and AI solution design, production deployment, platform adoption, and consumption growth. Advise senior technical stakeholders, demonstrate competitive differentiation, coordinate cross-functional resources, develop a technical specialization, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent technical communication.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Manage a strategic enterprise QSR account for Databricks by building executive relationships, expanding platform adoption across business units, driving value-based growth, exceeding pipeline and revenue targets, and forecasting in Salesforce. The role requires consultative selling expertise in big data, cloud, SaaS, advanced analytics, AI, and consumption-based sales, with responsibility for guiding enterprise customers and system integrators through complex purchasing decisions.

Lead customer-facing technical engagements involving discovery, solution architecture, platform demonstrations, proofs of concept, and data engineering, analytics, and machine learning solutions. Build production-quality code and reusable technical assets, guide account-level technical strategies, explain competitive differentiation, and partner with account executives to expand Databricks adoption.

Lead technical strategy for large enterprise accounts as Databricks’ primary technical voice. Partner with Enterprise Account Executives to guide customers through data and AI transformations, drive Databricks adoption, build technical champions, align solutions with business strategies, and lead virtual account teams. The role requires enterprise pre-sales expertise, executive engagement, value selling, technical leadership, knowledge of big data, cloud, ML and AI, and production programming experience.

Manage a strategic federal system integrator account and drive enterprise sales growth for Databricks’ Data Intelligence Platform. Build relationships with CIOs, IT and business executives, and program managers; expand adoption into new units and use cases; exceed pipeline and revenue targets; maintain forecasts and customer details in Salesforce; and execute value-based, solution-oriented sales strategies. The role requires selling Big Data, cloud, SaaS, advanced analytics, and AI solutions to federal system integrators.

Leads Databricks’ AI transformation strategy with enterprise C-suite executives and strategic partners. Builds trusted-advisor relationships, co-creates AI transformation roadmaps, and oversees execution, deployment, operating models, and value realization. Develops repeatable executive engagement and co-sell programs, leads C-suite workshops, and establishes an external AI Transformation Expert Advisory Council. Requires extensive enterprise digital and AI transformation leadership, C-suite engagement, industry expertise, operating-model development, systems-integrator collaboration, and sufficient technical credibility.