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Tier-1 brand, metro location, and generalist senior data+AI skillset increase applicant competition.
Finance domain knowledge and Databricks platform experience limit cross-industry transferability.
Explicit 7+ years, Databricks/Spark/finance experience and SOX controls create stringent screening.
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Build and maintain finance data pipelines and AI-assisted tools using Databricks and Spark to support Finance and Accounting functions.
Develop reports, dashboards, and finance applications enabling self-service analytics and automate manual workflows.
Ensure compliance with SOX change management, implement data access policies, and support financial close monitoring and UAT activities.
7+ years of experience in data engineering, analytics engineering, or finance systems.
Proficiency in SQL and Python; hands-on experience with Apache Spark or Databricks platform preferred.
Experience integrating financial source systems such as NetSuite, Salesforce, Stripe, or Zuora.
Working knowledge of finance and accounting concepts including revenue recognition and financial reporting.
Technically strong with capability to translate finance requirements into maintainable technical solutions under guidance.
Experienced in building BI dashboards and self-service data products with good communication skills across technical and non-technical teams.
Curious about AI/ML and interested in applying modern data and AI tooling to solve finance domain problems.