高级财务专员（数据与人工智能）
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Senior Finance Specialist (Data & AI)Databricks · Bengaluru, 印度
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职位描述
机器翻译关于该职位
作为财务数据与AI专家，您将是一名亲力亲为的贡献者，负责构建和维护支持Databricks财务与会计组织的数据管道、应用程序和AI驱动的工具。您将向财务数据与AI高级经理汇报，并作为团队的核心成员，将工程严谨性与财务领域知识相结合。
该职位非常适合技术能力强、渴望深入了解Databricks平台，并热衷于将现代数据和AI工具应用于真实财务问题的人。
您将做什么
• 与会计、FP&A、内部审计和采购团队合作，收集需求并交付文档完善的技术解决方案
• 使用Databricks Lakehouse和Python/PySpark开发和维护ETL管道，以增强报告、自动化日记账分录，并转变会计和FP&A领域的核心财务流程，包括收入、费用、权益、佣金和税务
• 使用Databricks Jobs和Lakeflow Spark Declarative Pipelines在财务数据湖中构建和维护财务数据管道，包括数据验证和对账逻辑
• 为财务与会计组织开发和迭代AI辅助工具，包括手动工作流自动化、异常检测和报告增强
• 为财务应用程序（Databricks Apps、Genie Spaces、AI/BI仪表板）的开发做出贡献，使财务利益相关者能够进行自助分析
• 为月度、季度和高管级报告构建和维护报告与仪表板
• 支持在财务DataLake数据集上实施行级安全和数据访问策略
• 遵循基于Git的版本控制、拉取请求审查流程和CI/CD管道（Declarative Automation Bundles、GitHub Actions），以满足SOX变更管理要求
• 通过监控管道、调查d来支持财务结账
岗位职责
作为财务数据与AI专家，您将是一名亲力亲为的贡献者，负责构建和维护支持Databricks财务与会计组织的数据管道、应用程序和AI驱动的工具。您将向财务数据与AI高级经理汇报，并作为团队的核心成员，将工程严谨性与财务领域知识相结合。
该职位非常适合技术能力强、渴望深入了解Databricks平台，并热衷于将现代数据和AI工具应用于真实财务问题的人。
• 与会计、FP&A、内部审计和采购团队合作，收集需求并交付文档完善的技术解决方案
• 使用Databricks Lakehouse和Python/PySpark开发和维护ETL管道，以增强报告、自动化日记账分录，并转变会计和FP&A领域的核心财务流程，包括收入、费用、权益、佣金和税务
• 使用Databricks Jobs和Lakeflow Spark Declarative Pipelines在财务数据湖中构建和维护财务数据管道，包括数据验证和对账逻辑
• 为财务与会计组织开发和迭代AI辅助工具，包括手动工作流自动化、异常检测和报告增强
• 为财务应用程序（Databricks Apps、Genie Spaces、AI/BI仪表板）的开发做出贡献，使财务利益相关者能够进行自助分析
• 为月度、季度和高管级报告构建和维护报告与仪表板
• 支持在财务DataLake数据集上实施行级安全和数据访问策略
• 遵循基于Git的版本控制、拉取请求审查流程和CI/CD管道（Declarative Automation Bundles、GitHub Actions），以满足SOX变更管理要求
• 通过监控管道、调查数据问题并在需要时上报来支持财务结账
• 参与新系统集成的UAT，并协助编写技术文档
• 在财务数据负责人的指导下，为团队编码标准和数据建模规范做出贡献
我们寻找什么
• 7年以上财务和会计、数据工程、分析工程或财务系统经验
• 具备财务和会计概念的工作知识，包括结账流程、收入确认和财务报告
• 精通SQL和Python用于管道开发；具有Apache Spark或Databricks平台的实操经验者优先
• 具有连接财务源系统（SAP、NetSuite、Salesforce、Stripe、Zuora或类似系统）并从中摄取数据的经验
• 能够在指导下将财务需求转化为清晰、可维护的技术解决方案
• 能够自如地在技术和非技术受众之间沟通
任职要求
• 对AI/ML有好奇心，并有兴趣将新技术应用于财务工作流
加分项
• 曾在高增长SaaS或云基础设施公司工作过
• 接触过AI/BI工具、Genie One或LLM驱动的应用程序
关于Databricks
Databricks是数据和AI公司。全球超过20,000家组织——包括adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever以及70%的财富500强——依赖Databricks Data + AI Platform来构建和扩展数据与AI应用、分析和代理。Databricks总部位于旧金山，在全球拥有30多个办事处，提供统一平台，包括Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse和Unity Catalog。如需了解更多信息，请在LinkedIn、X、YouTube和Instagram上关注Databricks。
福利待遇
在Databricks，我们致力于提供全面的福利和津贴，以满足所有员工的需求。有关您所在地区所提供福利的具体详情，请点击此处。
我们对多元化和包容性的承诺
在Databricks，我们致力于营造多元化和包容性的文化，让每个人都能脱颖而出。我们非常谨慎地确保我们的招聘实践具有包容性，并符合平等就业机会标准。在Databricks寻求就业的个人，不会因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和精神能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，雇主也可能仅因此原因而拒绝继续推进申请人的申请。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
About the Role
As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.
This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems.
What You Will Do
• Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
• Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial 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 the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
• Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders
• Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
• Support the implementation of row-level security and data access policies across Finance DataLake datasets
• Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements
• Support financial close by monitoring pipelines, investigating d
岗位职责
As a Finance Data and AI Specialist, you will be a hands-on contributor building and maintaining the data pipelines, applications, and AI-powered tools that support Databricks' Finance and Accounting organisation. You will report to the Senior Manager, Finance Data and AI and work as a core member of a team that combines engineering rigour with Finance domain knowledge.
This role is ideal for someone who is technically strong, eager to go deep on the Databricks platform, and excited to apply modern data and AI tooling to real Finance problems.
• Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
• Develop and maintain ETL pipelines using Databricks Lakehouse and Python/PySpark to enhance reporting, automate journal entries, and transform core financial 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 the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
• Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, AI/BI dashboards) that enable self-service analytics for Finance stakeholders
• Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
• Support the implementation of row-level security and data access policies across Finance DataLake datasets
• Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, 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 new system integrations and assist with technical documentation
• Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead
What We Look For
• 7+ years of experience in finance and accounting, data engineering, analytics engineering, or finance systems
• Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting
• Proficiency in SQL and Python for pipeline development; hands-on experience with Apache Spark or the Databricks platform is a strong plus
• Experience connecting to and ingesting from financial source systems (SAP, NetSuite, Salesforce, Stripe, Zuora, or similar)
• Ability to translate Finance requirements into clean, maintainable technical solutions with guidance
• Comfortable communicating across technical and non-technical audiences
任职要求
• Curiosity about AI/ML and interest in applying new techniques to Finance workflows
Nice to Have
• Prior experience at a high-growth SaaS or cloud infrastructure company
• Exposure to AI/BI tools, Genie One, or LLM-powered applications
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.