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The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

Lead a high-performing Data Visualization engineering team, manage technical debt, and implement processes that enhance product features and team productivity.

The Principal Demand Generation Manager collaborates with various marketing teams to execute strategic demand generation plans, ensuring alignment with company goals and driving measurable growth through data insights.

Lead and improve the monthly, quarterly, and annual close process through workpaper review, cross-functional partnership, AI/automation adoption, and process improvements. Mentor accounting staff, support audits and SOX compliance, assist M&A integrations, and contribute to ERP transformation (SAP S/4HANA) and automation initiatives to accelerate close and improve accuracy.

The role involves developing intuitive interfaces and solutions for generative AI applications while collaborating with cross-functional teams to drive product growth and strategy.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.

Lead and scale a Data & AI Support Engineering team to resolve complex Spark, streaming, Lakehouse, and Databricks issues. Build AI-enabled support workflows, automations, and runbooks; partner with Engineering/Product to operationalize diagnostics and observability; manage KPIs, escalations, hiring, training, and on-call incident response while acting as a technical escalation leader for enterprise customers.

Lead and execute Databricks' global close and consolidation processes, ensuring accurate, timely, audit-ready consolidated books. Drive automation and AI adoption, manage SAP implementation and chart of accounts governance, handle intercompany eliminations, currency revaluations, allocations, and technical close matters. Coach and lead a team while partnering cross-functionally to improve controls and close efficiency.