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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.

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.

Lead global paid media strategy and a team of media planners to drive brand awareness, account engagement, and pipeline growth. Build scalable planning frameworks, align budget to high-impact audiences, implement measurement frameworks with Analytics, and foster team development and continuous test-and-learn improvements.

Serve as a senior pre-sales Solutions Architect for Databricks, driving technical engagements, proofs-of-concept, and customer adoption across Communications, Media, Entertainment & Gaming. Partner with Account Executives, influence stakeholders including C-level, coach junior architects, develop customer collateral, and lead workshops. Provide architecture, design, and technical strategy for cloud-based data analytics solutions and the Databricks platform.

Lead and scale the Accenture Databricks Business Group by designing and operating a global PMO: establish governance, portfolio management, executive cadences, KPI dashboards, standardized tools, and a strategic partner investment program. Partner cross-functionally with GTM, Finance, Legal, Product, and Accenture to source, structure, and operationalize investments and ensure measurable outcomes and auditability.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Lead and scale Databricks' global web marketing function: build a product-focused team, modernize web properties for humans and AI agents, implement personalization and testing, apply AI to automate web workflows, ensure machine-readable content and strong information architecture, drive analytics-informed growth, manage vendors, and coordinate global marketing efforts.

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.

Act as the field product manager for high-value AI engagements: partner with Sales to scope C-suite problems, define MVPs and PRDs, prioritize engineering backlogs, run agile delivery, lead launch and adoption, and hand off ongoing operations while proving ROI.