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Pre-sales Solutions Architect who defines technical strategy and drives Databricks adoption across large enterprise accounts. Leads technical engagements, builds executive relationships and internal champions, mentors team members, and maps ML/AI use cases to Databricks solutions. Supports proofs-of-concept and guides production implementations.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Lead end-to-end payroll operations for US and Canada, managing a team of 4–5. Own payroll runs, tax compliance, year-end reporting, equity payroll (RSUs), SOX controls, audits, systems (Workday, ADP), process improvements, and cross-functional coordination with HR, Finance, Legal and Tax.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.

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.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

Own AMER Scale-motion sales enablement for Databricks’ emerging enterprise segment. Build repeatable playbooks, programs, tooling, AI role-plays, and onboarding for hundreds of account executives. Partner with senior sales leadership to prioritize enablement, measure field readiness, consumption, pipeline influence, and ramp time. Adapt global content to regional sales motions, coordinate cross-functional enablement, triage requests, establish feedback loops, and sharpen programs through live deal and coaching engagement.

Leads pre-sales technical strategy for large enterprise accounts in high-tech and manufacturing. Partners with account executives and technical teams to drive Databricks evaluation, adoption, and expansion, especially for data, machine learning, and AI use cases. Builds executive relationships, establishes technical champions, leads virtual teams, presents business value, supports data-driven transformation, and mentors colleagues. Requires production programming experience and expertise in big data, data science, and cloud technologies.

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.

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.