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Strong Tier-1 brand and metro location increase applicant density, but finance domain specialization reduces competition.
Strong finance domain knowledge and source-system experience create high industry specificity and background sensitivity.
Explicit 7+ years, mandatory Databricks/Spark/finance domain experience and SOX controls make filters strict.
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Build and maintain finance data pipelines and AI-powered tools to support Finance and Accounting workflows using Databricks technologies.
Develop finance applications and dashboards enabling self-service analytics and support monthly, quarterly, and executive-level reporting.
Ensure compliance with SOX change management and data access policies; collaborate cross-functionally to deliver finance technical solutions.
7+ years of experience in data engineering, analytics engineering, or finance systems.
Proficiency in SQL and Python; experience with Apache Spark or Databricks platform preferred.
Experience working with financial source systems like NetSuite, Salesforce, Stripe, or Zuora.
Working knowledge of finance and accounting concepts including close processes, revenue recognition, and financial reporting.
Technically strong with ability to translate Finance requirements into maintainable data and AI solutions within Databricks platform.
Experience contributing to BI dashboards and self-service data products in finance contexts.
Comfortable engaging technical and non-technical stakeholders and operating in a regulated SOX-compliant environment.