Software Engineering Manager, Data & Analytics

Responsibilities

• Define and drive the strategy for Limble's analytical data infrastructure.
• Design the boundary between transactional data stores and the analytical layer, 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.
• Own the observability of data pipelines by defining SLAs for data freshness and quality, build alerting, and keep consumers informed.
• Establish data governance and quality standards.
• Drive adoption of the reporting framework across stream-aligned teams.
• Stay hands-on to review critical design decisions, contribute to architecture, and help the 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.
• 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-Haves

• 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.

Benefits

• 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.
• Pet insurance.