{"schemaVersion":"jobsearcher.job.v1","id":"05b8dfa90088d57c9130a357","url":"https://jobsearcher.com/jobs/05b8dfa90088d57c9130a357","canonicalUrl":"https://jobsearcher.com/jobs/05b8dfa90088d57c9130a357","title":"Software Engineering Manager, Data & Analytics","description":"About 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.About 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.You 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.You'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.ResponsibilitiesDefine and drive the strategy for Limble's analytical data infrastructureDesign 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 maintainableArchitect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areasPartner with product leadership to translate customer and business analytics needs into a technical roadmapBuild, hire, and lead a high-performing team of data and analytics engineersDrive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversationOwn the observability of your data pipelines by defining SLAs for data freshness and quality, build alerting, and keep your consumers informed when something's offEstablish data governance and quality standards so the rest of engineering can trust the data they're building on top ofDrive adoption of the reporting framework across stream-aligned teamsStay hands-on enough to review critical design decisions, contribute to architecture, and help your team get unstuckRequirements5+ years of experience in data engineering, analytics engineering, or a related discipline with at least 2 years in an engineering management or technical lead roleProven experience designing data infrastructure on AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3, and related services)Strong understanding of when to use an operational data store vs. an analytical one, and how to design the pipeline between themStrong background in data modeling, ELT/ETL pipeline design, and building analytics-ready datasetsExperience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfacesExperience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issuesActively 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 sameSome exposure with embedding AI driven capabilities inside of a SaaS productComfortable staying player-coach: you can write a design doc, review a schema, or weigh in on a query optimizationTrack 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 LimbleStrong communicator who can translate data architecture decisions into language product and business stakeholders actually understandBias toward simplicity over complex solutionsLocated in or near the Charlotte, NC metro areaNice to HaveExperience with embedded or in-app analytics (surfacing insights directly inside a SaaS product, not just internal BI)Familiarity with event streaming on AWS (Kinesis, MSK, EventBridge, Kafka, or similar)Experience with AWS Glue, Athena, or Lake Formation for data pipeline and lake orchestrationExperience at a B2B SaaS company in the 50–200 employee rangeExposure to regulated software environments (SOC 2, HIPAA, or similar)Experience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product contextBenefitsCompetitive salary commensurate with experienceFully remote positionFlexible PTO13 paid company holidaysPaid parental leaveHealth, Dental, and Vision insuranceEmployer paid Basic Life insurance and Short-Term Disability insuranceCompany contribution match for HSA and 401(k)Flexible Spending AccountsMonthly employee wellness stipendOpportunities for Learning and Development ReimbursementPet insuranceLimble 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.","company":"Limble","rawCompany":"limble","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-07-11T12:08:52.008Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Manager, Data & Analytics","description":"About 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.About 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.You 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.You'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.ResponsibilitiesDefine and drive the strategy for Limble's analytical data infrastructureDesign 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 maintainableArchitect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areasPartner with product leadership to translate customer and business analytics needs into a technical roadmapBuild, hire, and lead a high-performing team of data and analytics engineersDrive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversationOwn the observability of your data pipelines by defining SLAs for data freshness and quality, build alerting, and keep your consumers informed when something's offEstablish data governance and quality standards so the rest of engineering can trust the data they're building on top ofDrive adoption of the reporting framework across stream-aligned teamsStay hands-on enough to review critical design decisions, contribute to architecture, and help your team get unstuckRequirements5+ years of experience in data engineering, analytics engineering, or a related discipline with at least 2 years in an engineering management or technical lead roleProven experience designing data infrastructure on AWS (Aurora PostgreSQL, DynamoDB, Redshift, S3, and related services)Strong understanding of when to use an operational data store vs. an analytical one, and how to design the pipeline between themStrong background in data modeling, ELT/ETL pipeline design, and building analytics-ready datasetsExperience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfacesExperience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issuesActively 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 sameSome exposure with embedding AI driven capabilities inside of a SaaS productComfortable staying player-coach: you can write a design doc, review a schema, or weigh in on a query optimizationTrack 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 LimbleStrong communicator who can translate data architecture decisions into language product and business stakeholders actually understandBias toward simplicity over complex solutionsLocated in or near the Charlotte, NC metro areaNice to HaveExperience with embedded or in-app analytics (surfacing insights directly inside a SaaS product, not just internal BI)Familiarity with event streaming on AWS (Kinesis, MSK, EventBridge, Kafka, or similar)Experience with AWS Glue, Athena, or Lake Formation for data pipeline and lake orchestrationExperience at a B2B SaaS company in the 50–200 employee rangeExposure to regulated software environments (SOC 2, HIPAA, or similar)Experience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product contextBenefitsCompetitive salary commensurate with experienceFully remote positionFlexible PTO13 paid company holidaysPaid parental leaveHealth, Dental, and Vision insuranceEmployer paid Basic Life insurance and Short-Term Disability insuranceCompany contribution match for HSA and 401(k)Flexible Spending AccountsMonthly employee wellness stipendOpportunities for Learning and Development ReimbursementPet insuranceLimble 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.","datePosted":"2026-07-11T12:08:52.008Z","dateModified":"2026-07-11T12:08:52.008Z","hiringOrganization":{"@type":"Organization","name":"Limble","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"05b8dfa90088d57c9130a357"},"url":"https://jobsearcher.com/jobs/05b8dfa90088d57c9130a357"}}