Note: The job is a remote job and is open to candidates in USA. Toast creates technology that helps restaurants and local businesses succeed in a digital world. The Senior Manager, Analytics Engineering will lead the core Analytics layer of Toast’s enterprise data warehouse, set data architecture and modeling strategy, and build a team of analytics engineers. The role also partners with senior stakeholders and engineering leaders to advance scalable, governed, and AI-ready data solutions.
Responsibilities
- Own the strategy and roadmap for a hub & spoke data architecture, and drive alignment on it across domain teams
- Lead the team that builds and maintains the core Analytics layer in our data warehouse, ensuring it meets the needs of the domain teams building on top of it
- Set the vision for an AI-ready semantic layer that is extendable across business domains, and guide its execution
- Build, manage, and develop a team of analytics engineers — hiring, coaching, and setting growth paths
- Partner with senior business stakeholders, product leadership, and engineering leadership to align on data analytics priorities across the organization
- Represent EDS's analytics strategy in cross-functional and leadership forums
- Partner closely with data engineering leadership to ensure platform scalability and coherent architecture across teams
- Provide technical and people leadership, mentorship, and career development to team members
Skills
- 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
- Experience with Sigma, Hex, and/or other BI dashboard tools
- Experience in cloud-based data warehouses, specifically Snowflake
- Experience with Python
- Experience building or scaling a data/analytics engineering function
- Experience in a SaaS or FinTech focused enterprise
Benefits
- Cash compensation (overtime, bonus/commissions if eligible)
- Equity
- Benefits
- We provide these tools across all disciplines, from Engineering and Product to Sales and Support.
- Our Approach to Hybrid Working: We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs.
Company Overview
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