Principal Analytics Engineer

1 day, 5 hours ago
Full-time
Lead
Data Science and Analytics
Elastic

Elastic

Elastic is a leading platform for search-powered solutions, providing real-time insights and making data usable for developers and enterprises worldwide.

Internet Software & Services
1K-5K
Founded 2010

Description

  • Design and build the core BigQuery and dbt infrastructure for Elastic’s marketing intelligence platform.
  • Develop the semantic layer and structured knowledge base that enables AI agents to reason over business data.
  • Integrate signals across digital, product, and sales sources into a unified lifecycle and customer journey model.
  • Create agent-ready data products that transform raw signals into high-fidelity, reliable data assets.
  • Partner with Enterprise, Product, Sales, and Finance teams to align on shared metrics and definitions.
  • Mentor other engineers and help maintain high standards for the data foundation.
  • Apply governance, data quality monitoring, and data contract practices to keep metrics consistent and trustworthy.
  • Translate complex technical architecture and data issues into business value for stakeholders.

Requirements

  • Deep experience with BigQuery, dbt, and semantic layers such as dbt Semantic Layer or Vortex AI.
  • Proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle.
  • Strong architectural design skills for building complex, interconnected, and extensible systems.
  • Systems and design thinking with the ability to simplify complex data environments.
  • Experience treating data as a product and ensuring it is discoverable and reliable for human users and AI agents.
  • Track record of collaborating with peers and translating technical debt into business value.
  • Deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks.
  • Bonus: Strong understanding of Go-To-Market mechanics, including customer acquisition, attribution, and revenue.
  • Bonus: Familiarity with Marketing Mix Modeling (MMM), causality, or incrementality analysis.
  • Bonus: Experience with GDPR/CCPA compliance, identity stitching, customer 360 frameworks, or production AI/agentic deployments.

Benefits

  • Base salary range of CAD $154,000 to $243,600.
  • Eligible for Elastic’s stock program.
  • Company-matched RRSP with dollar-for-dollar matching up to 6% of eligible earnings.
  • Competitive pay based on the work you do, not previous salary.
  • Health coverage for you and your family in many locations.
  • Flexible locations and schedules for many roles.
  • Generous vacation days each year.
  • Up to 16 weeks of parental leave.

Interested in this position?

Apply directly on the company website

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