# Principal Analytics Engineer

**Company**: Elastic
**Location**: Canada
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $154,000-$243,600 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/elastic/jobs/7851240?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7db53eed-402

## Description

We are seeking a Principal Analytics Engineer to lead the design and build of our AI-powered intelligence system. This role involves synthesizing complex data streams into a unified, high-fidelity system that serves as the 'source of truth' for the entire customer journey. You will engineer a structured knowledge layer that enables us to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.

Key responsibilities include:

Architecting the foundation: designing and building the core BigQuery and dbt infrastructure that powers our marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.

Enabling AI & Agents: developing the semantic layer and structured knowledge base that allows AI agents to accurately 'talk' to our business data and reason through complex performance questions.

Mapping the journey: integrating disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer's path from discovery to revenue.

Scaling through partnerships: partnering with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.

Requirements include:

Deep experience with BigQuery, dbt, and semantic layers.

Ability to build complex, interconnected systems by starting with the desired outcome and working backward.

Systems & Design Thinking: the ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.

Collaborative Communication: a track record of 'translating' technical debt into business value and coaching peers through complex architectural hurdles.

Operational Excellence & Governance: treating data as infrastructure and having deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks.

## Skills

### Required
- BigQuery
- dbt
- semantic layers
- data modeling
- data governance
- data architecture

### Nice to have
- GTM fluency
- marketing science foundations
- identity resolution
- AI production scaling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/elastic/jobs/7851240?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)