Staff Data Engineer

Toast creates technology to help restaurants and local businesses succeed in a digital world helping business owners operate increase sales engage customers and keep employees happy.

About Toast

At Toast were building the restaurant platform that helps 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 were 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 150000 restaurant locations.

Role Overview

Youll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture tooling domain model and team culture from day one. This is a rare opportunity to build something from greenfield with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team youll design build and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering youll work closely with Data Infrastructure Analytics Engineering and Product teams to ensure high-quality reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade scalable and reliable data systems that support analytics reporting and operational decision-making across Customer Success.

A day in the life (Responsibilities)

• Design build and maintain scalable production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting analytics and machine learning across Customer Success functions.
• Partner with CS operations leaders across care workforce and CX to translate business requirements into pipeline and infrastructure priorities ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality observability lineage and governance are built into every data workflow.
• Implement best practices for cost-efficient performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability scale and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews design discussions and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g. dbt metrics Snowflake semantic layer) that enable consistent reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360 omnichannel interaction data case management and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toasts Business Technology & Transformation (BTT) organization to establish data governance practices security policies and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member youll help define the norms not just follow them.

• Ensure data pipelines storage and access patterns adhere to BTT data standards security policies and compliance requirements.
• Partner with BTT governance forums to align on design patterns data architecture decisions and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What youll need to thrive (Requirements)

• 5 years of experience in data engineering software engineering or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python Scala or Java.
• Hands-on experience with cloud-based data platforms (AWS GCP or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow dbt or similar orchestration frameworks.
• Deep understanding of data modeling data warehousing and pipeline design.
• Ability to write clean maintainable and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders including operations and business leaders.
• Proven ability to work collaboratively with analytics operations and engineering teams.
• Strong problem-solving skills attention to detail and a drive to build scalable reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale managing billions of records across multiple data domains and systems with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g. GitHub Copilot Claude Snowflake Cortex AI) to accelerate pipeline development testing and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka Kinesis or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g. Snowflake BigQuery Redshift Delta Lake).
• Experience with CI/CD infrastructure as code or containerization (e.g. Docker Terraform).
• Exposure to data governance metadata management and observability tools.
• Background in SaaS or Customer Success analytics (usage data retention metrics customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce Five9 Intercom or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security privacy and compliance in cloud environments.

AI at Toast

At Toast one of our company values is that were hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster more independently and with higher quality. We provide these tools across all disciplines from Engineering and Product to Sales and Support and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; its a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract retain and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters changing needs. Learn more about our benefits at base salary range for this role is listed below. The starting salary will be determined based on skills experience and geographic addition to base salary our total rewards components include cash compensation (overtime bonus/commissions if eligible) equity and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.