Software Engineering Manager, Data & Analytics

Limble CMMS; Charlotte (NC); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive health, dental, and/or/…

Employer-paid life insurance

Employer-paid short-term disability

401(k) with company match

HSA with employer contributions

Flexible Spending Accounts

Monthly wellness stipend

Fully remote position

Flexible PTO

13 paid company holidays

Paid parental leave

Health, Dental, and Vision insurance

Job summary

Limble is building a dedicated data and analytics capability within its engineering organization. As the Software Engineering Manager for Data & Analytics, you will own the strategy for collecting, storing, and surfacing data to power customer insights across the platform.

You’ll guide decisions on AI tooling and architect a scalable analytics foundation for product teams. You will start with a small team, grow it, and shape hiring, data architecture, and delivery standards.

Qualifications

• 5+ years in data engineering, analytics with at least 2 years in an engineering management or technical lead role.
• 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 them
• Strong background in data modeling, ELT/ETL pipeline design, and building analytics-ready datasets
• Experience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfaces
• Experience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues
• Actively 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
• Some exposure with embedding AI driven capabilities inside of a SaaS product
• Comfortable staying player-coach: you can write a design doc, review a schema, or weigh in on a query optimization
• Track 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
• Strong communicator who can translate data architecture decisions into language product and business stakeholders actually understand
• Bias toward simplicity over complex solutions
• Located in or near the Charlotte, NC metro area

Responsibilities

• Define and drive the strategy for Limble's analytical data infrastructure
• Design 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
• Architect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areas
• Partner with product leadership to translate customer and business analytics needs into a technical roadmap
• Build, hire, and lead a high-performing team of data and analytics engineers
• Drive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversation
• Own 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
• Establish data governance and quality standards so the rest of engineering can trust the data they're building on top of
• Drive adoption of the reporting framework across stream-aligned teams
• Stay hands‑on enough to review critical design decisions, contribute to architecture, and help your team get unstuck

Skills

Data engineering

Analytics engineering

Team leadership

Hiring engineers

Communication with stakeholders

Tools

AWS

Job description

Passionate about innovation and eager to make an impact? Explore career opportunities and help shape the future of maintenance management.

• Comprehensive health, dental, and vision insurance
• Employer-paid life insurance
• Employer-paid short-term disability insurance
• 401(k) with company match
• HSA with employer contributions
• Flexible Spending Accounts

Wellness & Growth

• Monthly wellness stipend

Software Engineering Manager, Data & Analytics

Location

Charlotte, NC

Employment Type

Full time

Department

About Limble

At 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 role

We'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.

Responsibilities

Define and drive the strategy for Limble's analytical data infrastructure

Design 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

Architect and own the reporting framework that stream-aligned engineering teams use to embed analytics into their product areas

Partner with product leadership to translate customer and business analytics needs into a technical roadmap

Build, hire, and lead a high-performing team of data and analytics engineers

Drive significant architectural decisions through ADR reviews with Principal and Staff engineers, bringing well-reasoned proposals and leading the conversation

Own 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

Establish data governance and quality standards so the rest of engineering can trust the data they're building on top of

Drive adoption of the reporting framework across stream-aligned teams

Stay hands‑on enough to review critical design decisions, contribute to architecture, and help your team get unstuck

Requirements

5+ 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

Proven 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 them

Strong background in data modeling, ELT/ETL pipeline design, and building analytics‑ready datasets

Experience building or contributing to a reporting or analytics framework consumed by multiple engineering teams or product surfaces

Experience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues

Actively 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

Some exposure with embedding AI driven capabilities inside of a SaaS product

Comfortable staying player‑coach: you can write a design doc, review a schema, or weigh in on a query optimization

Track 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

Strong communicator who can translate data architecture decisions into language product and business stakeholders actually understand

Bias toward simplicity over complex solutions

Located in or near the Charlotte, NC metro area

Nice to Have

Experience 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 orchestration

Experience at a B2B SaaS company in the 50–200 employee range

Exposure to regulated software environments (SOC 2, HIPAA, or similar)

Experience with BI or visualization tooling (Metabase, Looker, Tableau, or similar) in a product context

Competitive salary commensurate with experience

Fully remote position

Flexible PTO

13 paid company holidays

Paid parental leave

Health, Dental, and Vision insurance

Employer paid Basic Life insurance and Short-Term Disability insurance

Company contribution match for HSA and 401(k)

Flexible Spending Accounts

Monthly employee wellness stipend

Opportunities for Learning and Development Reimbursement

Limble 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.