Software Engineering Manager, Data & Analytics

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

• Monthly wellness stipend

Charlotte, NC

Full time

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.

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.

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

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…