Jobs/Finance Data and AI Lead
D

Finance Data and AI Lead

Databricks Verified
Compensation TransparencyStated CTC: Competitive (Industry Standard)
Disclosed on Official ATS Application

Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.

Stipend / SalaryCompetitive (Industry Standard)
Work ModeON SITE
Experience2+ yrs
Posted3d ago
Verified Direct Role: Clicking "Apply on Official Site" opens Databricks's official careers portal directly without middleman aggregators.
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Job Snapshot & Verified Telemetry
  • Target Role:Finance Data and AI Lead
  • Employer:Databricks
  • Work Mode:ON SITE
  • Location:Bengaluru, India
  • Compensation:Competitive (Industry Standard)
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:Financial ModelingCorporate AccountingStatutory ComplianceAuditing
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About the Role

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 organisation. 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. What You Will Do: Design and develop ETL pipelines using Databricks SQL and Python / PySpark to enhance reporting, automate journal entries, and transform core financial processes across various domains in accounting and FP&A, such as revenue, expenses, equity, commissions, and tax Architect, build, and own the most complex finance data pipelines in the Finance data lake 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 organisation, including forecasting automation, anomaly detection, and natural language interfaces to financial data Build and maintain internal Finance applications (Databricks Apps, Genie Agents, AI/BI dashboards) that enable self-service for non-technical Finance stakeholders Design and deliver curated Finance datasets and enforce row-level security, data access policies, and Unity Catalog governance standards Define and champion coding standards, data modelling conventions, documentation practices, and testing frameworks across the Finance engineering

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack4 Skills

The employer seeks candidates proficient in the following core technologies:

Financial ModelingCorporate AccountingStatutory ComplianceAuditing
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Verified Direct Application Link

Official position sourced directly from Databricks's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
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The verified package for this role is Competitive (Industry Standard) (ON SITE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in Financial Modeling, Corporate Accounting, Statutory Compliance, Auditing are encouraged to apply.

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Finance Data and AI Lead
Databricks•Competitive (Industry Standard)