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Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.

As a Staff Data Engineer, you'll lead the data engineering team, own the Databricks platform, build production pipelines, and engage with stakeholders while driving architectural judgement and maintaining platform quality.

The Lead Data Platform Engineer will architect a centralized data platform on Databricks, focusing on data governance, performance optimization, and enabling data engineers. Responsibilities include designing data models, implementing ETL pipelines, and managing third-party integrations.

Lead end-to-end transaction tax engagements (buy-side, sell-side, post-close), perform Section 382/383 and 263(a) analyses, support tax due diligence and purchase accounting, build complex calculation models from large datasets, draft technical memoranda, and mentor junior staff while coordinating cross-functional specialty tax work (R&D credits, Section 174, cost segregation, 280G).