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Active8h ago

Senior Payroll Accountant

Databricks·📍 Bengaluru, KA, India

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

GAQ327R161 About the Role We're building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. The Senior Payroll Accountant plays a critical role in executing the day-to-day and month-end accounting tasks associated with Databricks' global payroll. As part of the Global Accounting organization and reporting directly to the Payroll Accounting Manager based in India, you will tackle complex reconciliations, execute detailed variance analysis, and drive process improvements. The ideal candidate is a highly analytical self-starter with a keen eye for detail who thrives in a fast-paced, high-growth environment. The impact you will have: Prepare and record comprehensive payroll journal entries, including salaries, bonuses, commissions, stock-based compensation, benefits, and multi-state/international taxes.

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Role market pulse

How Accountant demand looks in India

46/100 · steady

Live jobs

32

Posted 30d

16

30d movement

+45.5%

Remote share

3.1%

Salary listed

12.5%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

What we look for: BA, BS Degree with a focus in Economics, Business Administration, Accounting, or Finance 6-8 years of general accounting experience, with a minimum of 4+ years dedicated specifically to payroll accounting Chartered Accountant (CA) or CPA equivalent certification is strongly preferred; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Finance

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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