Limble
Software Engineering Manager, Data & Analytics
Charlotte, NC
Sponsorship not specified$50k-$200kDetected 13 days ago
GitPostgreSQLDynamoDBRedshiftAWSRESTKafkaData EngineeringData VisualizationIncident ResponseComplianceInventory ManagementHIPAALeadershipMetabase
About the role
- You'll be investigating and leveraging the power of AI tooling to help make that strategy a reality for our customers.
- Your job is to make that foundation so good that teams can ship insights features without reinventing anything.
- You'll start with a small team and grow it.
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
- Experience owning data pipeline observability such as monitoring, alerting, SLAs, and incident response for data freshness and quality issues
- 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.
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
Compensation
- Competitive salary commensurate with experience
Benefits
- 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
Company info
- At Limble we empower the unsung heroes who support the world.
Equal opportunity
- equal opportunity employer.
This listing is sourced directly from Limble's careers page and normalized into a canonical job model.