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The role involves shaping big data solutions, collaborating with customers and teams, and providing technical leadership in data engineering and AI.

Lead post-investment partner portfolio strategy for ~15 venture-backed partners, drive joint business plan execution, accelerate partner-sourced pipeline, enforce certification/governance, unblock cross-functional execution, surface scaling signals, and identify next-generation investment candidates.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Own architecture, deliver production-grade pipelines and ML integrations, embed with customers, drive technical strategy, contribute reusable assets, and ensure successful adoption and measurable outcomes.

Enterprise Account Executive selling Databricks into CMEG enterprise accounts: build executive relationships, drive value-based growth, expand footprint, exceed pipeline and revenue targets, manage forecasting in Salesforce, and promote Databricks platform (Spark/Delta Lake).

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.

Lead the global close for GL, accruals, prepaids, fixed assets, cash, leases and related balance sheet areas. Manage and coach a small team, ensure U.S. GAAP compliance and audit readiness, strengthen SOX controls, drive automation and AI adoption, support SAP implementation, and partner with Finance teams on process redesign and reconciliations.

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.

Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.

The Industry Lead Solutions Architect will define and execute Databricks' strategy in Financial Services, engaging with partners and customers, overseeing technical assets, and training Solutions Architects.

Design and implement next-generation query engine and structured storage systems focused on performance optimization and data management.