Senior Finance Specialist (Data & AI)

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Communication","Requirements translation","Stakeholder collaboration","Attention to detail","Data reliability"]

Build and maintain finance data pipelines in Databricks’ Finance DataLake, including validation, reconciliation, and secure data access. Develop AI-assisted tools that automate manual Finance workflows, detect anomalies, and enhance reporting. Partner with Accounting, FP&A, Internal Audit, and Procurement to deliver well-documented solutions, dashboards, and self-service analytics. Own data reliability for financial close, support integrations through UAT, and use Git-based CI/CD to meet SOX change management requirements.

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FursaFursa
Databricks
Databricks
2 months ago

Senior Finance Specialist (Data & AI)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and maintain finance data pipelines in Databricks’ Finance DataLake, including validation, reconciliation, and secure data access. Develop AI-assisted tools that automate manual Finance workflows, detect anomalies, and enhance reporting. Partner with Accounting, FP&A, Internal Audit, and Procurement to deliver well-documented solutions, dashboards, and self-service analytics. Own data reliability for financial close, support integrations through UAT, and use Git-based CI/CD to meet SOX change management requirements.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and maintain finance data pipelines in the Finance DataLake, including data validation and reconciliation logic using Databricks Jobs and Lakeflow Spark Declarative Pipelines.
  • •Develop and iterate on AI-assisted tools for Finance and Accounting, including workflow automation, anomaly detection, and reporting enhancements.
  • •Contribute to Finance application development (Databricks Apps, Genie Spaces, dashboards) to enable self-service analytics.
  • •Build and maintain reporting dashboards for monthly, quarterly, and executive-level reporting, including implementing row-level security and data access policies.
  • •Support financial close by monitoring pipelines, investigating data issues, and escalating as needed; participate in UAT for system integrations and assist with technical documentation.

Key Requirements

  • •7+ years of experience in data engineering, analytics engineering, or finance systems.
  • •Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform.
  • •Experience connecting to and ingesting from financial source systems such as NetSuite, Salesforce, Stripe, Zuora, or similar.
  • •Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting.
  • •Ability to translate Finance requirements into clean, maintainable technical solutions while communicating comfortably across technical and non-technical audiences.
Experience:7+ yearsFinanceAccountingData engineeringAnalytics engineering
Skills:CommunicationRequirements translationStakeholder collaborationAttention to detailData reliability
Languages:English
Tech Stack:DatabricksDatabricks JobsLakeflowSpark Declarative PipelinesApache SparkSQLPythonDatabricks AppsGenie SpacesDashboardsRow-level securityGitGitHub ActionsCI/CDDeclarative Automation BundlesSOXNetSuiteSalesforceStripeZuora

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn