Principal Analytics Engineer

Toast is building a restaurant platform to help restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we’re transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Requirements

  • 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
  • Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
  • Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
  • Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
  • Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
  • Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
  • Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
  • Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.

Benefits

  • 401k Matching
  • Generous Paid Time Off
  • Retirement Plan
  • Relocation Assistance
  • Tuition Reimbursement

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