Senior Software Engineer (Data Platform)

Globalization Partners
India
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Leadership","Problem-solving"]

Architect the AI-native data platform as the backbone of the product, building self-service frameworks and high-performance engines that power hundreds of services. Lead Databricks Lakehouse scale, optimize cost-efficiency, and enforce data contracts and governance. Mentor engineers on distributed computing, drive platform engineering patterns for batch and real-time processing, and push AI-assisted tooling across the SDLC.

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FursaFursa
Globalization Partners
Globalization Partners
3 months ago

Senior Software Engineer (Data Platform)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Architect the AI-native data platform as the backbone of the product, building self-service frameworks and high-performance engines that power hundreds of services. Lead Databricks Lakehouse scale, optimize cost-efficiency, and enforce data contracts and governance. Mentor engineers on distributed computing, drive platform engineering patterns for batch and real-time processing, and push AI-assisted tooling across the SDLC.
Location: India
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect the Data Platform by leading the design and implementation of internal SDKs and self-service frameworks for 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.
  • •Take full ownership of the cost-effectiveness of the Databricks ecosystem by tuning Spark execution plans, optimizing shuffle partitions, and implementing auto-scaling strategies.
  • •Ensure the platform remains performant as volume grows, balancing latency, throughput, and cloud spend.
  • •Lead an AI-infused SDLC by championing AI-assisted development tools and mentoring engineers on distributed computing best practices.

Pay and Benefits

Perks:Parental LeaveHealth InsuranceDentalVisionSpending AccountsSabbatical

Key Requirements

  • •5+ years of experience building and operating production-grade data systems at massive scale.
  • •Deep, hands-on mastery of the Databricks/Spark ecosystem (Delta Lake, DLT, Spark UI debugging, and performance tuning).
  • •Proven track record of building Real-time/Streaming architectures (Spark Structured Streaming, Kafka, or Kinesis) as a core production requirement.
  • •Experience managing and optimizing cloud costs in a high-growth environment.
  • •Experience building APIs, tools, or frameworks used by other internal engineering teams.
Experience:5+ yearsData engineeringDatabricksSparkStreamingCloud costsApis
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:DatabricksSparkDelta LakeDLTSpark UIKafkaKinesisGitHub CopilotCursorAPIs

Company Brief

Globalization Partners
Provides global Employer of Record (EOR) and international hiring services that enable companies to hire, onboard, and manage employees in 180+ countries without local entities, simplifying global expansion and compliance.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Boston, United States
Founded: 2012
WebsiteLinkedIn