# Senior Finance Data and AI Specialist

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Bengaluru, India
**Role:** Data Engineering
**Experience:** 7+ years
**Skills:** Databricks, Python, Pyspark, SQL, Spark, Lakeflow, ETL, GitHub Actions, SAP, NetSuite, Salesforce, Stripe, Zuora, Bi Dashboards, Llm Applications
**Posted:** 2026-08-11

> Builds and maintains finance data pipelines, applications, dashboards, and AI-assisted tools on the Databricks platform. The role requires 7+ years of experience across finance systems, data engineering, analytics engineering, or finance and accounting, plus strong SQL and Python skills.

## Job Description

## Responsibilities
- Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform finance processes across accounting and FP&A domains, including revenue, expenses, equity, commissions, and tax.
- Build and maintain finance data pipelines in the Finance data lake using Databricks Jobs and Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic.
- Develop and iterate on AI-assisted tools for Finance and Accounting, including workflow automation, anomaly detection, and reporting enhancements.
- Contribute to Finance applications, including Databricks Apps, Genie Spaces, and AI/BI dashboards, enabling self-service analytics.
- Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting.
- Support row-level security and data access policies across Finance DataLake datasets.
- Gather requirements from Accounting, FP&A, Internal Audit, and Procurement teams and deliver well-documented technical solutions.
- Follow Git-based version control, pull-request review, and CI/CD processes, including Declarative Automation Bundles and GitHub Actions, to meet SOX change-management requirements.
- Support financial close by monitoring pipelines, investigating data issues, and escalating as needed.
- Participate in UAT for system integrations and assist with technical documentation.
- Contribute to coding standards and data-modeling conventions.

## Requirements
- 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems.
- Proficiency in SQL and Python for pipeline development.
- Experience with Apache Spark or the Databricks platform is a strong plus.
- Experience connecting to and ingesting data from financial source systems such as SAP, NetSuite, Salesforce, Stripe, or Zuora.
- 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.
- Comfortable communicating with technical and non-technical audiences.
- Experience contributing to BI dashboards and self-service data products.
- Curiosity about AI/ML and interest in applying new techniques to Finance workflows.

## Nice to Have
- Experience at a high-growth SaaS or cloud infrastructure company.
- Exposure to AI/BI tools, Genie One, or LLM-powered applications.

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