Software Engineering Manager, Data & Analytics

Limble CMMS
Charlotte
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Leadership","Communication","Architectural decision-making","Hiring and developing engineers","Stakeholder translation"]

Lead Limble’s data and analytics capability by defining and executing strategy for how the platform collects, stores, and surfaces customer-facing insights. Own the analytical data infrastructure and reporting framework that other stream-aligned engineering teams build on, ensuring teams can ship analytics features without reinventing foundations. Serve as a player-coach—making architecture decisions, improving engineering standards, and driving observability, data governance, and adoption across the org.

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Limble CMMS
Limble CMMS
1 month ago

Software Engineering Manager, Data & Analytics

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead Limble’s data and analytics capability by defining and executing strategy for how the platform collects, stores, and surfaces customer-facing insights. Own the analytical data infrastructure and reporting framework that other stream-aligned engineering teams build on, ensuring teams can ship analytics features without reinventing foundations. Serve as a player-coach—making architecture decisions, improving engineering standards, and driving observability, data governance, and adoption across the org.
Location: Charlotte
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Define and drive the strategy for Limble’s analytical data infrastructure
  • •Design the boundary between transactional data stores and the analytical layer for performant, maintainable analytics
  • •Architect and own the reporting framework used by stream-aligned engineering teams to embed analytics
  • •Partner with product leadership to translate customer and business analytics needs into a technical roadmap
  • •Build, hire, and lead a team of data and analytics engineers while staying player-coach for key architecture decisions

Pay and Benefits

Perks:Remote WorkPaid LeavePaid HolidaysPaid ParentalHealth InsuranceDentalVision401kHsaLife InsuranceFlexible SpendingWellness StipendLearning BudgetPet Insurance

Key Requirements

  • •5+ years in data engineering/analytics engineering (or related), with at least 2 years in engineering management or a technical lead role
  • •Proven experience designing data infrastructure on AWS, including Aurora PostgreSQL, DynamoDB, Redshift, and S3
  • •Strong understanding of operational vs analytical data stores and designing the pipeline between them
  • •Strong background in data modeling plus ELT/ETL pipeline design and analytics-ready datasets
  • •Experience building or contributing to a reporting/analytics framework used across multiple engineering teams or product surfaces
Experience:5+ yearsData engineeringAnalytics engineeringB2B SaaSSaaS
Skills:LeadershipCommunicationArchitectural decision-makingHiring and developing engineersStakeholder translation
Tech Stack:AWSAurora PostgreSQLDynamoDBRedshiftS3ELT/ETLData modelingAI coding toolsGitHub CopilotCursorClaudeObservabilityMonitoringAlertingSLAsIncident responseADR reviewsKinesisMSKEventBridge

Company Brief

Limble CMMS
Provides a cloud-based CMMS and asset management platform to help teams manage work orders, preventive maintenance, inventory, and analytics to reduce downtime and extend asset life across industries.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Funding: Series B
Headquarters: Lehi, United States
Founded: 2015
Glassdoor
Glassdoor: 3.7
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