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Partner with sales to design and implement Databricks-based big data architectures for named accounts. Consult on data engineering, data science, ML, and SQL workflows; build proofs-of-concept; validate integrations with cloud services and third-party tools; collaborate with product and solutions teams; promote and recruit contributors for Databricks open-source projects. Travel to customer sites in your region as needed.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

Customer-facing AI engineer who builds and productionizes GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning). Own production rollouts, advise customers, present externally, and influence product roadmap while collaborating cross-functionally.

プリセールスソリューションアーキテクトとして、営業を技術面で支援し、Databricksプラットフォームを用いたアーキテクチャ設計、評価、移行計画、デモ作成、サードパーティ統合、ワークショップ実施、既存環境最適化と製品改善提案を行う。

Architect and productionize ML and GenAI solutions on Databricks, including RAG and agent systems, MLOps pipelines, model training/serving/monitoring, and advising customers and product teams on AI adoption.

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.

Partner with account teams to drive Databricks adoption by designing and demonstrating scalable big-data architectures and proofs-of-concept. Engage customers in technical sales, scope use cases, deliver solution designs, author reference architectures, and lead regional technical workshops to support successful platform adoption.

Build and productionize cutting-edge GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning), deploy and optimize production ML systems on cloud platforms, advise and collaborate with customers and cross-functional product and engineering teams, and represent Databricks externally at conferences.

Lead technical pre-sales engagements for the Databricks Data Intelligence Platform: develop customer engagement strategies, coach junior architects, design and demo architectures, run complex proofs-of-concept on public cloud, influence stakeholders and deliver customer-facing collateral, workshops, and technical leadership.

Lead pre-sales technical engagements in Indonesia: build relationships, deliver hands-on Spark evaluations and demos, advise on architecture and design, author reference assets, and collaborate with account teams to drive adoption of Databricks solutions.