Globalization Partners
Senior Software Engineer (Data Platform)
Remote Data Platform Engineering role with clear candidate location fit.
PostedJul 23, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
IndiaUSA
Role overview
Senior Software Engineer (Data Platform)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Architect the Data Platform
- Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.
- Shift from "pipeline building" to "platform engineering," creating reusable patterns for batch and real-time event processing.
Own Platform Performance
- Take full ownership of the cost-effectiveness of the Databricks ecosystem. You will tune Spark execution plans, optimize shuffle partitions, and implement auto-scaling strategies to manage DBU consumption.
- Ensure the platform remains performant as volume grows, managing the trade-offs between latency, throughput, and cloud spend.
Drive Data Contracts & Governance
- Implement Schema-on-Write validation and Data Contracts to ensure data from hundreds of internal services meets strict quality standards before hitting the Bronze layer.
- Partner with the Data Architect & Data Stewards to enforce data privacy (PII), security standards, and metadata lineage across the global ecosystem.
Lead an AI-Infused SDLC
- Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate the engineering lifecycle and improve code quality.
- Mentor engineers on distributed computing best practices, conducting deep-dive code reviews that focus on scalability and maintainability.
What We Are Looking For
- Scale Specialist: 5+ years of experience building and operating production-grade data systems at massive scale.
- Databricks Expert: Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
- Streaming Veteran: Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
- Optimisation Mindset: Experience managing and optimizing cloud costs in a high-growth environment.
- Platform Thinker: Experience building APIs, tools, or frameworks used by other internal engineering teams.
Details
- Sales Roles: This position is eligible for a commission structure in addition to base salary.
- Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
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Location eligibility
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