Data Analytics Engineer

NetBrain

2d•$160,000 - $190,000

About The Position

NetBrain is seeking a Senior Analytics Engineer to architect and establish its first cloud data warehouse. This role will involve building the transformation layer, ELT pipelines, and governance necessary for a standardized reporting system and a single source of truth for the business. The engineer will own the technical infrastructure for reliable measurement, including the warehouse, pipelines, and transformations, while collaborating with business stakeholders to define key metrics. This foundational role has high visibility, as the semantic layer will also support NetBrain's internal AI initiatives for data querying and reporting.

Requirements

6+ years in analytics engineering, data engineering, or a similar role, with real ownership of production data models.
Strong SQL and a track record shipping analytical models that other teams depend on.
Hands-on experience with a modern cloud data warehouse (Snowflake preferred, or comparable platforms like BigQuery).
Extensive experience with a transformation framework such as dbt or SQLMesh.
Scripting ability (Python or similar) for ingestion, validation, or automation.
Experience with a BI or semantic-layer tool (e.g., Omni, Looker, Tableau).
Sound judgment around data access, governance, and handling of sensitive data.
Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

Nice To Haves

Experience building the technical foundation for AI-assisted or natural-language reporting — semantic layers built to support LLM or agent-based tools.
Familiarity with GTM and Customer Success data sources such as Salesforce, Gainsight, or HubSpot.
Experience applying machine learning or statistical forecasting techniques (e.g., time-series and churn-propensity models) to predict key business metrics such as ARR and customer retention.

Responsibilities

Architect and maintain NetBrain’s cloud data warehouse.
Own warehouse transformations end to end — from raw ingestion through documented, stable tables that downstream teams and tools depend on.
Design and maintain ELT pipelines that bring raw data from tools across GTM, Finance, and Product into the warehouse.
Contribute to the technical foundation of our BI tool — semantic layer, metric definitions, and access model — that powers executive reporting and NetBrain’s internal AI use cases.
Own data quality, governance, and lineage: freshness checks, testing, access controls, and a documented source of truth.
Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.