Staff Analytics Engineer

N-able Technologies Ltd.; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Benefits offered by this job

Group Medical

Personal Accident

Term life coverage

Paid Volunteer Days

Employee Stock Purchase Program

Learning & Development

Hybrid work model

Job summary

N-able Technologies Ltd. in Bengaluru is seeking an experienced analytics professional to design and build a semantic data layer in Snowflake, and to ship AI-powered data apps.

You will work with Cortex, dbt, LookML, Snowflake, and BI tools to modernize dashboards and enable scalable data products. Strong SQL, Python, and communication skills required.

Qualifications

• 8+ years of analytics or data engineering experience.
• Hands-on experience with semantic modeling and building semantic layers.
• Experience designing governed data models and BI-ready data products.
• Proven ability to translate ambiguous business asks into precise definitions.

Responsibilities

• Design and build governed Snowflake Semantic Views and semantic layer components.
• Stand up evaluation harnesses and data governance for LLM-driven analytics.
• Develop logging, monitoring, and lineage across the semantic layer.
• Ship interactive data apps (Streamlit) atop semantic models and modernize dashboards.

Skills

SQL

Dimensional modeling

Semantic modeling

Python

Analytics engineering

Communication

Tools

Snowflake

Cortex tools

dbt

LookML

Snowpark

Streamlit

Tableau

Power BI

Git

CI/CD

Job description

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 besurrounded 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.

#LI #AS #LI # Hybrid