✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at Hewlett Packard Enterprise

Hybrid Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years 6+ years
Education Not specified
Category Data & Analytics

This role involves designing and leading scalable data platforms, implementing data pipelines, governance, and real-time processing to support analytics and ML initiatives.

  • Design data architecture
  • Build data pipelines
  • Ensure data quality
  • Implement data governance
  • Lead real-time data initiatives

The position requires expertise in data architecture, cloud platforms (AWS, Azure, GCP), data pipelines, and data governance, with a focus on high-performance, secure, and observable data systems.

The ideal candidate is a senior data engineer with 6+ years of experience in designing scalable data architectures, proficient in cloud platforms like AWS, Azure, or GCP, and experienced in managing data pipelines, governance, and real-time data processing.

Data ArchitectureData PipelinesData ModelingData GovernanceCloud Platforms
Data ObservabilityData LineageAutomated TestingML WorkflowsBig Data Technologies
AWSAmazon Web ServicesAzureGoogle Cloud PlatformGCP
Data ArchitectureData PipelinesBatch ProcessingStreamingData ModelingData GovernanceCloud PlatformsAWSAzureGCPBig Data Technologies
Data ArchitectureData PipelinesBatch ProcessingStreamingReal-time DataData ModelingData GovernanceData QualityCloud PlatformsAWSAzureGCPBig Data TechnologiesData ObservabilityData LineageAutomated TestingData SecurityML Workflows
leadershipstrategic thinkingcollaborationcommunicationmentoring
Industry Technology
Job Function Data platform architecture and pipeline leadership
Senior Data EngineerData ArchitectureData PipelinesBatch ProcessingStreamingReal-time DataData ModelingData GovernanceData QualityCloud PlatformsAWSAmazon Web ServicesAzureGCPBig Data TechnologiesData ObservabilityData LineageAutomated TestingData SecurityML Workflows

Less than 6 years of relevant experience, Lack of experience with cloud platforms (AWS, Azure, GCP), No background in data architecture or pipelines

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