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Guide customers through cloud data engineering transformations, providing leadership for data projects and architecting production workloads. Collaborate with architects, deliver training, and enhance community adoption using Databricks Intelligence 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.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

Lead customer-facing, production-grade data and AI solutions on Databricks: design architectures, implement data pipelines and ML integrations, embed with stakeholders, deliver projects, and produce reusable accelerators and best practices.

Partner with sales to design and present scalable Databricks Lakehouse architectures. Consult on big data pipelines, data engineering, and ML projects, validate integrations, build demos and reference architectures, and act as a trusted technical advisor to grow platform adoption and deliver production solutions.

The Lead GTM Enablement & Scale Architect will develop and implement enablement strategies for Lakebase, ensuring field readiness and competitive positioning while leveraging AI for scalable solutions.

Lead customer adoption of the Databricks Lakehouse platform by designing architectures, building proofs-of-concept, demonstrating integrations with cloud services, troubleshooting critical issues, and evangelizing open-source projects like Spark, Delta Lake, and MLflow. Partner with sales and present technical solutions to customers.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

Customer-facing engineer who designs, builds, and productionizes GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, collaborate with product and engineering, present at conferences, and optimize/evaluate models and deployments across cloud platforms.