AI Specialist, Treasury Finance Operations

Databricks

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. This is part of the Finance org. 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 * Build and maintain finance data pipelines in the Finance DataLake using Databricks Jobs and Lakeflow 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, 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 * Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions * 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 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 is a strong plus * Experience connecting to and ingesting from financial source systems (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 with guidance * Comfortable communicating across 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 * Prior experience at a high-growth SaaS or cloud infrastructure company * Exposure to AI/BI tools, Genie, or LLM-powered applications   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits 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.

Databricks

GAQ327R175 About the Role This role is a part of the Finance Organisation. As Finance Data Lead on the Finance Data and AI team, you will be the technical authority behind the data pipelines, AI systems, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Manager, Finance Data and AI and serve as the individual contributor who sets the technical bar, drives architectural decisions, and delivers the highest-complexity work on the team. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability. You will work closely with a team of finance data engineers as a technical lead and mentor, and partner directly with Accounting, FP&A, and Finance leadership to define what gets built and how. You will be embedded in a Finance organization that takes data and AI seriously, with visibility to CFO-level priorities. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: * Architect, build, and own the most complex finance data pipelines in the Finance DataLake, using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Lead the technical design of AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data * Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders * Design and deliver curated Finance DataLake datasets and enforce row-level security, data access policies, and Unity Catalog governance standards * Define and champion coding standards, data modeling conventions, documentation practices, and testing frameworks across the Finance engineering team * Enforce and evolve Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Lead technical scoping and solutioning for requirements from Accounting, FP&A, Internal Audit, and Procurement teams * Serve as the primary technical point of contact during financial close, ensuring data accuracy and timely resolution of pipeline issues * Partner with IT and Engineering on new system integrations, providing detailed technical requirements and leading UAT * Mentor junior and mid-level engineers through code reviews, pairing, and design discussions, raising the technical quality of the broader team * Proactively identify architectural debt, performance bottlenecks, and tooling gaps, and drive resolution with minimal direction What We Look For: * 12+ years of experience in data engineering, analytics engineering, or finance systems, with a track record of owning complex, production-grade pipelines end-to-end * Deep proficiency in SQL and Python; hands-on experience with Apache Spark and the Databricks platform * Experience building and maintaining ELT/ETL pipelines from financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Strong understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Ability to independently translate ambiguous Finance requirements into well-architected, maintainable technical solutions * Comfortable driving technical conversations with both engineering peers and non-technical Finance stakeholders * Experience building Finance-facing dashboards, self-service BI products, and executive reporting layers * Familiarity with AI/ML concepts with demonstrated enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Hands-on experience with AI/BI tools, Genie, or LLM-powered applications * Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines * CPA, CFA, or formal finance/accounting background   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits 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.

Databricks

GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance. You will be embedded in a Finance organization that takes data and AI seriously. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: * Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Identify, scope, and deliver AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data * Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders * Build reports and dashboards for monthly, quarterly, and executive-level reporting * Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies * Partner with Accounting, FP&A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake * Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent * Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Provide support during financial close and ensure timely resolution of data-related issues * Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes * Establish coding, data management, and documentation standards and best practices * Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results What We Look For: * 15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity * Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus * Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables * Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP&A) stakeholders * Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products * Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Exposure to AI/BI tools, Genie, or LLM-powered applications * Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines * CPA, CFA, or formal finance/accounting background About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits 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.