Senior Manager, Analytics Engineering

Toast

. Own the strategy and roadmap for a hub & spoke data architecture and drive alignment across domain teams .

Posted 9/28/2026full-timeBoston • Massachusetts • United StatesSenior💰 $152,000 - $312,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics teams and developing scalable data modeling strategies, with a strong focus on SQL and data architecture. Proven ability to influence stakeholders and drive alignment across business domains while fostering team growth and mentorship.

Highest-signal resume keywords

Data Modeling StrategiesSQL Query DesignTeam LeadershipAnalytics EngineeringBusiness Intelligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLAnalytics EngineeringBusiness IntelligenceData ArchitectureDbtAirflowPythonCloud-Based Data WarehousesData Analytics

Soft Skills

Influencing StakeholdersMentorshipCollaborationAdaptabilityCommunication

Tools & Technologies

SnowflakeSigmaHexBI Dashboard ToolsData Warehousing

Industry Keywords

SaaSFinTechEnterprise Data WarehouseAnalytics LayerAI-Ready Semantic Layer

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

Own the strategy and roadmap for a hub & spoke data architecture and drive alignment across domain teams
Lead the team building and maintaining the core Analytics layer in Toast's enterprise data warehouse
Set the vision for an AI-ready semantic layer extendable across business domains and guide execution
Build, manage, and develop a team of analytics engineers through hiring, coaching, and growth paths
Partner with senior business stakeholders, product leadership, and engineering leadership on data analytics priorities
Represent EDS's analytics strategy in cross-functional and leadership forums
Partner with data engineering leadership to ensure platform scalability and coherent architecture
Provide technical and people leadership, mentorship, and career development to team members

Requirements

What you’ll need

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
Ability to understand the business needs behind data modeling decisions
Highly proficient in SQL, with a focus on query design and performance
Demonstrated ability to influence senior stakeholders and drive alignment
Thrives in a fast-paced environment and comfortable operating under ambiguity
Experience with Airflow (nice to have)
Experience with Sigma, Hex, and/or other BI dashboard tools (nice to have)
Experience in cloud-based data warehouses, specifically Snowflake (nice to have)
Experience with Python (nice to have)
Experience building or scaling a data/analytics engineering function (nice to have)
Experience in a SaaS or FinTech focused enterprise (nice to have)

Benefits

Comp & perks

Competitive compensation and benefits programs
Cash compensation, including overtime and bonus/commissions if eligible
Equity
Flexible benefits supporting a healthy lifestyle and changing needs
Hybrid work model valuing individual needs
In-person collaboration
Reasonable accommodations for persons with disabilities
AI tools provided across disciplines to support work