Senior
Databricks · Mountain View, California
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Manage the end to end monthly revenue close and ASC 606 application for complex customer contracts.
Worth knowing: Expect to use SQL and AI tools regularly
Company: Databricks Job title: Senior Revenue Accountant Location: Mountain View, California; San Francisco, California GAQ327R297 Databricks is looking for a Senior Revenue Accountant to join our team. You will report to the Senior Manager of Revenue Accounting and play a hands-on role in the full accounting close cycle for revenue recognition — from executing on non-standard contract terms identified by Revenue Assurance, to performing UATs on new system logic, to preparing financial reporting deliverables for internal and external stakeholders. Our revenue accounting environment is evolving rapidly — new SKUs, new go-to-market motions, shifting policy requirements and system migrations are the norm. We need someone who thrives in ambiguity, adapts when priorities shift and sees change as an opportunity. Our ideal candidate has a builder's mindset: someone who digs into the details, questions why things are done a certain way and proactively identifies opportunities to automate, streamline and scale. The impact you will have: Own the close, end to end. Perform monthly close activities including usage review, journal entry preparation, flux analyses, account reconciliations and analytics — and continuously look for ways to compress the timeline. Apply ASC 606 with precision and judgment. Ensure proper application of ASC 606 to customer contracts, including assessing non-standard terms, documenting accounting conclusions and navigating evolving policy interpretations as our product portfolio grows. Dig into the details. Pull, validate and troubleshoot data yourself — contract details, system outputs and data discrepancies. You are not waiting for someone to hand you a clean dataset. Automate relentlessly. Identify manual, repetitive processes and take ownership of building or championing automation — whether that means writing SQL queries, building scripts, designing workflow improvements or partnering with engineering to implement systematic fixes. Leverage AI to work smarter. Use AI tools and large language models (LLMs) to accelerate routine tasks — drafting memos, analyzing large datasets, building reconciliation templates, summarizing contract terms or prototyping process improvements. Support financial reporting.
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