Senior Data Platform Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Platform Engineer Bangalore | OnSite ABOUT ASPORA People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users. Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 150+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact. We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you're driven to redefine what global banking can be, we'd love to build the future with you. About the Role We're building the data infrastructure that powers decisions across every part of our business - from real-time analytics to large-scale batch computation. As a Senior Data Platform Engineer, you'll own the systems that process billions of events, move data reliably, and make insights fast to produce. You'll work closely with analytics, ML, and product engineering teams - setting the bar for reliability, performance, and data quality across the platform. What You'll Do 1. Big Data Platform & Infrastructure - Design, build, and operate large-scale data processing infrastructure using Spark on Databricks - ensuring reliability, performance, and cost efficiency at scale. - Architect and maintain lakehouse solutions (Delta Lake, Iceberg) including partitioning strategies, Z-ordering, and compaction jobs. - Own cluster management, autoscaling policies, and resource governance across Databricks workspaces.

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