Senior Manager, Analytics Engineering

Toast, Inc.

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$195,000–$312,000 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Dec 31, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k
This role $254k
$139k most similar roles pay here $331k

This role pays more than 79% of similar roles. Most pay $165,900–$246,150 — the shaded band above. At the midpoint, this role pays about $254k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Toast, Inc.

Toast is a cloud-based restaurant management platform providing point-of-sale, payment processing, and operations software for the food service industry.

Toast, Inc. currently has 30 open roles on FindRole.

Listed pay typically runs $193,000–$309,000 across 28 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Senior Manager, Analytics Engineering

Senior Manager, Analytics Engineering will join the Enterprise Data Solutions team to lead the group responsible for the core analytics layer within the enterprise data warehouse. This leader will define the data architecture and modeling strategy, establish an AI-ready semantic layer, and manage a team of analytics engineers through hiring and coaching. The role involves developing a hub and spoke data architecture while aligning with stakeholders on data priorities across various business domains. Key technical requirements include proficiency in SQL for query design and performance, as well as extensive experience with dbt. Additional preferred skills include Python, Airflow, Snowflake, and tools like Sigma or Hex. This position addresses the challenge of building a scalable, governed data foundation to support complex enterprise-wide analytics and informed decision-making across diverse business functions.

What you'll do

  • Own the strategy and roadmap for a hub and spoke data architecture across domain teams.
  • Lead the team responsible for building and maintaining the core analytics layer in the enterprise data warehouse.
  • Define and execute the vision for an AI-ready, extendable semantic layer across business domains.
  • Hire, coach, and manage a team of analytics engineers while establishing clear growth paths.
  • Partner with senior leadership to align on data analytics priorities across the organization.
  • Collaborate with data engineering leaders to ensure platform scalability and coherent architecture.
  • Represent the enterprise data solutions strategy in cross-functional and leadership forums.

What we're looking for

  • 8+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles.
  • 2+ years experience managing or formally leading a team of analytics or data engineers.
  • 5+ years experience developing data modeling strategies at scale.
  • 4+ years experience developing in dbt.
  • Highly proficient in SQL with a focus on query design and performance.
  • Demonstrated ability to influence senior stakeholders and drive alignment.
  • Experience with Airflow (preferred).
  • Experience with Sigma, Hex, or other BI dashboard tools (preferred); Snowflake; Python; and SaaS/FinTech experience (preferred).

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