{"schemaVersion":"jobsearcher.job.v1","id":"7a58857403de2e24572ee748","url":"https://jobsearcher.com/jobs/7a58857403de2e24572ee748","canonicalUrl":"https://jobsearcher.com/jobs/7a58857403de2e24572ee748","title":"Software Engineering Manager, Data & Analytics","description":"Passionate about innovation and eager to make an impact? Explore career opportunities and help shape the future of maintenance management.\r\nComprehensive health, dental, and vision insurance\r\nEmployer-paid life insurance\r\nEmployer-paid short-term disability insurance\r\n401(k) with company match\r\nHSA with employer contributions\r\nFlexible Spending Accounts\r\nWellness & GrowthMonthly wellness stipend\r\nSoftware Engineering Manager, Data & AnalyticsLocationCharlotte, NC\r\nEmployment TypeFull time\r\nDepartmentAbout LimbleAt Limble we empower the unsung heroes who support the world. We’re revolutionizing the way businesses manage their maintenance operations by providing a comprehensive suite of software solutions that empower organizations to optimize asset performance and drive operational excellence. From preventive maintenance to inventory management and beyond, our robust CMMS platform offers a suite of features designed to streamline operations and enhance productivity.\r\nAbout the roleWe're building a dedicated data and analytics capability inside our engineering organization, and we need the right person to lead it. As the Software Engineering Manager for Data & Analytics, you'll own the strategy and execution for how Limble collects, stores, and surfaces data to power customer-facing insights across our platform. You’ll be investigating and leveraging the power of AI tooling to help make that strategy a reality for our customers.\r\nYou and your team own the data repository and the reporting framework. These are the foundation other stream-aligned engineering teams build on to surface analytics inside their product areas. Your job is to make that foundation so good that teams can ship insights features without reinventing anything. This is a player-coach role meaning that you'll be close enough to the technical work to make strong architectural decisions and set engineering standards, while also building and leading the team that executes on the vision.\r\nYou'll start with a small team and grow it. That means you have opinions on hiring, on data architecture, and on what \"quality delivery\" looks like for analytics infrastructure at a scaling B2B SaaS company. You won't need someone telling you how to build, instead you'll come in ready to define the architecture and get going.\r\nResponsibilitiesDefine and drive the strategy for Limble's analytical data infrastructure\r\nDesign the boundary between transactional data stores (what the product reads and writes against) and the analytical layer (what feeds reporting and ai-powered insights), keeping both performant and maintainable\r\nArchitect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areas\r\nPartner with product leadership to translate customer and business analytics needs into a technical roadmap\r\nBuild, hire, and lead a high-performing team of data and analytics engineers\r\nDrive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversation\r\nOwn the observability of your data pipelines by defining SLAs for data freshness and quality, build alerting, and keep your consumers informed when something's off\r\nEstablish data governance and quality standards so the rest of engineering can trust the data they're building on top of\r\nDrive adoption of the reporting framework across stream-aligned teams\r\nStay hands‑on enough to review critical design decisions, contribute to architecture, and help your team get unstuck\r\nRequirements5+ years of experience in data engineering, analytics engineering, or a related discipline with at least 2 years in an engineering management or technical lead role\r\nProven experience designing data infrastructure on AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3, and related services)\r\nStrong understanding of when to use an operational data store vs. an analytical one, and how to design the pipeline between them\r\nStrong background in data modeling, ELT/ETL pipeline design, and building analytics‑ready datasets\r\nExperience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfaces\r\nExperience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues\r\nActively leveraging AI coding tools (GitHub Copilot, Cursor, Claude, or similar) in day‑to‑day development and sets the expectation for the team to do the same\r\nSome exposure with embedding AI driven capabilities inside of a SaaS product\r\nComfortable staying player‑coach: you can write a design doc, review a schema, or weigh in on a query optimization\r\nTrack record of hiring and developing engineers; you know what a good data engineer looks like and can get them excited about our mission here at Limble\r\nStrong communicator who can translate data architecture decisions into language product and business stakeholders actually understand\r\nBias toward simplicity over complex solutions\r\nLocated in or near the Charlotte, NC metro area\r\nNice to HaveExperience with embedded or in‑app analytics (surfacing insights directly inside a SaaS product, not just internal BI)\r\nFamiliarity with event streaming on AWS (Kinesis, MSK, EventBridge, Kafka, or similar)\r\nExperience with AWS Glue, Athena, or Lake Formation for data pipeline and lake orchestration\r\nExperience at a B2B SaaS company in the 50–200 employee range\r\nExposure to regulated software environments (SOC 2, HIPAA, or similar)\r\nExperience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product context\r\nCompetitive salary commensurate with experience\r\nFully remote position\r\nFlexible PTO\r\n13 paid company holidays\r\nPaid parental leave\r\nHealth, Dental, and Vision insurance\r\nEmployer paid Basic Life insurance and Short-Term Disability insurance\r\nCompany contribution match for HSA and 401(k)\r\nFlexible Spending Accounts\r\nMonthly employee wellness stipend\r\nOpportunities for Learning and Development Reimbursement\r\nLimble is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetics, marital status, veteran status, or any other protected characteristic under applicable laws. We are committed to building a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All qualified applicants with arrest or conviction records will be considered in accordance with applicable laws.#J-18808-Ljbffr","company":"Limble Cmms","rawCompany":"limble cmms","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-21T01:28:04.212Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Manager, Data & Analytics","description":"Passionate about innovation and eager to make an impact? Explore career opportunities and help shape the future of maintenance management.\r\nComprehensive health, dental, and vision insurance\r\nEmployer-paid life insurance\r\nEmployer-paid short-term disability insurance\r\n401(k) with company match\r\nHSA with employer contributions\r\nFlexible Spending Accounts\r\nWellness & GrowthMonthly wellness stipend\r\nSoftware Engineering Manager, Data & AnalyticsLocationCharlotte, NC\r\nEmployment TypeFull time\r\nDepartmentAbout LimbleAt Limble we empower the unsung heroes who support the world. We’re revolutionizing the way businesses manage their maintenance operations by providing a comprehensive suite of software solutions that empower organizations to optimize asset performance and drive operational excellence. From preventive maintenance to inventory management and beyond, our robust CMMS platform offers a suite of features designed to streamline operations and enhance productivity.\r\nAbout the roleWe're building a dedicated data and analytics capability inside our engineering organization, and we need the right person to lead it. As the Software Engineering Manager for Data & Analytics, you'll own the strategy and execution for how Limble collects, stores, and surfaces data to power customer-facing insights across our platform. You’ll be investigating and leveraging the power of AI tooling to help make that strategy a reality for our customers.\r\nYou and your team own the data repository and the reporting framework. These are the foundation other stream-aligned engineering teams build on to surface analytics inside their product areas. Your job is to make that foundation so good that teams can ship insights features without reinventing anything. This is a player-coach role meaning that you'll be close enough to the technical work to make strong architectural decisions and set engineering standards, while also building and leading the team that executes on the vision.\r\nYou'll start with a small team and grow it. That means you have opinions on hiring, on data architecture, and on what \"quality delivery\" looks like for analytics infrastructure at a scaling B2B SaaS company. You won't need someone telling you how to build, instead you'll come in ready to define the architecture and get going.\r\nResponsibilitiesDefine and drive the strategy for Limble's analytical data infrastructure\r\nDesign the boundary between transactional data stores (what the product reads and writes against) and the analytical layer (what feeds reporting and ai-powered insights), keeping both performant and maintainable\r\nArchitect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areas\r\nPartner with product leadership to translate customer and business analytics needs into a technical roadmap\r\nBuild, hire, and lead a high-performing team of data and analytics engineers\r\nDrive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversation\r\nOwn the observability of your data pipelines by defining SLAs for data freshness and quality, build alerting, and keep your consumers informed when something's off\r\nEstablish data governance and quality standards so the rest of engineering can trust the data they're building on top of\r\nDrive adoption of the reporting framework across stream-aligned teams\r\nStay hands‑on enough to review critical design decisions, contribute to architecture, and help your team get unstuck\r\nRequirements5+ years of experience in data engineering, analytics engineering, or a related discipline with at least 2 years in an engineering management or technical lead role\r\nProven experience designing data infrastructure on AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3, and related services)\r\nStrong understanding of when to use an operational data store vs. an analytical one, and how to design the pipeline between them\r\nStrong background in data modeling, ELT/ETL pipeline design, and building analytics‑ready datasets\r\nExperience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfaces\r\nExperience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues\r\nActively leveraging AI coding tools (GitHub Copilot, Cursor, Claude, or similar) in day‑to‑day development and sets the expectation for the team to do the same\r\nSome exposure with embedding AI driven capabilities inside of a SaaS product\r\nComfortable staying player‑coach: you can write a design doc, review a schema, or weigh in on a query optimization\r\nTrack record of hiring and developing engineers; you know what a good data engineer looks like and can get them excited about our mission here at Limble\r\nStrong communicator who can translate data architecture decisions into language product and business stakeholders actually understand\r\nBias toward simplicity over complex solutions\r\nLocated in or near the Charlotte, NC metro area\r\nNice to HaveExperience with embedded or in‑app analytics (surfacing insights directly inside a SaaS product, not just internal BI)\r\nFamiliarity with event streaming on AWS (Kinesis, MSK, EventBridge, Kafka, or similar)\r\nExperience with AWS Glue, Athena, or Lake Formation for data pipeline and lake orchestration\r\nExperience at a B2B SaaS company in the 50–200 employee range\r\nExposure to regulated software environments (SOC 2, HIPAA, or similar)\r\nExperience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product context\r\nCompetitive salary commensurate with experience\r\nFully remote position\r\nFlexible PTO\r\n13 paid company holidays\r\nPaid parental leave\r\nHealth, Dental, and Vision insurance\r\nEmployer paid Basic Life insurance and Short-Term Disability insurance\r\nCompany contribution match for HSA and 401(k)\r\nFlexible Spending Accounts\r\nMonthly employee wellness stipend\r\nOpportunities for Learning and Development Reimbursement\r\nLimble is an equal opportunity employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetics, marital status, veteran status, or any other protected characteristic under applicable laws. We are committed to building a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All qualified applicants with arrest or conviction records will be considered in accordance with applicable laws.#J-18808-Ljbffr","datePosted":"2026-08-21T01:28:04.212Z","dateModified":"2026-08-21T01:28:04.212Z","hiringOrganization":{"@type":"Organization","name":"Limble Cmms","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7a58857403de2e24572ee748"},"url":"https://jobsearcher.com/jobs/7a58857403de2e24572ee748"}}