Staff Analytics Engineer

Why N-able

At N-able, we’re not just helping businesses be secure —we’re redefining what it means to be cyber resilient. Our end-to-end platform blends AI-powered capabilities and flexible tech stacks, so customers can manage, secure, and recover with confidence. But the real power behind it all? Our people. We’re a global crew of N-ablites, who love solving complex problems, sharing knowledge, and delivering solutions that actually make a difference. If you're into meaningful work, fast growth, and a team that’s got your back, you’ll be surrounded by people who believe in what they do—and in you.

What You'll Do

• Design and build governed Snowflake Semantic Views (logical tables, relationships, facts, dimensions, metrics, synonyms) as the shared vocabulary AI agents use to answer business questions.
• Stand up the evaluation harness for the semantic and agentic layer, including golden-question datasets, LLM-as-a-judge scoring, and side-by-side runs that gate every release.
• Build logging, monitoring, and lineage across the layer; partner with data engineering and governance team members on observability for upstream pipelines and data products.
• Curate a verified query repository and custom instructions that raise answer accuracy over time.
• Ship dynamic Streamlit apps and lightweight data products on top of the semantic layer using AI-assisted coding, modernizing legacy Tableau and Power BI dashboards into faster, interactive experiences.
• Crosstrain BI analysts in each domain to tune, extend and maintain their domain models, building the hub-and-spoke that scales this beyond a single team.
• Embed governance and data quality by default, partnering with the Data Governance team members to meet certification, stewardship, and CDE requirements.

What You'll Bring

• Deep SQL and dimensional/semantic modeling expertise (facts, dimensions, metrics, conformed entities), with hands-on experience building a semantic layer in Snowflake Semantic Views, dbt Semantic Layer, LookML, or similar.
• Hands-on Snowflake experience, ideally including Cortex Analyst, Cortex Agents, and Cortex Search, or comparable text-to-SQL and RAG systems, and a working grasp of why grounding LLMs in governed semantics beats pointing them at raw schema.
• Strong Python and analytics-engineering fundamentals across Snowflake dynamic tables, streams, tasks, Snowpark, Git workflows, CI/CD, and automated testing, with the discipline to ship documented, maintainable, reviewable code.
• Fluency with AI-assisted coding (Snowflake Cortex Code, Claude Code, or similar) as a daily driver for delivery; spec-driven development experience is a plus.
• Proven experience evaluating LLM applications in production: test datasets, LLM-as-a-judge or programmatic scoring, and using the results to drive iteration. Familiarity with Monte Carlo or similar data observability platforms is a plus.
• Experience building dynamic, interactive data apps (Streamlit or similar) on top of a semantic layer, plus enough Tableau and Power BI to migrate what matters and modernize the reporting estate.
• Strong communication skills with a knack for cross-training peers, able to run working sessions with BI analysts, translate ambiguous business asks into precise, certified definitions, and help peers tune the model confidently.
• 8+ years in analytics or data engineering, with at least 1 year building semantic models or LLM-grounded analytics, and a track record of shipping data products that other teams reuse.

Purple Perks

• Group Medical , Personal Accident & Term life coverage 
• Generous PTO and observed holidays
• 2 Paid VoluNteer Days per year
• Employee Stock Purchase Program
• FuN-raising opportunities as part of our giving program
• N-ablite Learning – custom learning experience as part of our investment in you
• The Way We Work – our hybrid working model based on trust and flexibility

About N-able

At N-able, our mission is to protect businesses against evolving cyberthreats with an end-to-end cyber resilience platform to manage, secure, and recover. Our scalable technology infrastructure includes AI-powered capabilities, market-leading third-party integrations, and the flexibility to employ technologies of choice—to transform workflows and deliver critical security outcomes. Our partner-first approach combines our products with experts, training, and peer-led events that empower our customers to be secure, resilient, and successful.

 

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