[Hiring] Senior Engineering Manager, Data Platform @Calendly

Role Description

We're seeking a Senior Engineering Manager for our Data Platform with deep expertise in people leadership, technical delivery, and organizational development. This role sits at the core of our Data, AI, and Infrastructure organization. Reporting directly to the VP of Data, you'll own the development and expansion of the infrastructure and data platforms that enable all Calendly teams to leverage and rely on trusted data.

Your work will enable a best-in-class scheduling experience and help millions of users host better meetings.

As a Senior Manager, Data Platform, you will have the opportunity to lead the strategy, execution, and evolution of Calendly’s modern data platform. This leader will oversee the systems, architecture, and engineering practices that enable reliable, scalable, secure, and self-service access to data across the company.

This is a highly cross-functional leadership role that partners closely with various product Engineering teams, Product management, product Analytics, Security, Infrastructure, and AI/ML teams.

Your team will manage our Enterprise Data Warehouse - collecting, processing, and overseeing data that drives analytics, operations, and strategic decisions throughout the organization. In addition to the internal warehouse, you'll also oversee Calendly's near-real-time data systems that serve millions of users each day.

On a typical day, you will be working on:

• Defining and executing the long-term strategy for Calendly’s data platform and ecosystem.
• Building a scalable, reliable, and cost-efficient platform that supports analytics, experimentation, operational reporting, machine learning, and AI use cases.
• Driving modernization initiatives across data ingestion, transformation, orchestration, governance, observability, and serving layers.
• Building internal platform capabilities that empower analysts, data scientists, ML engineers, and product teams.
• Improving data discoverability, governance, lineage, and quality.
• Driving adoption of self-service tooling and standardized workflows.
• Recruiting engineers and people leaders to expand both new and existing teams across the organization.
• Addressing challenges that accelerate progress for the entire engineering organization.
• Guiding, developing, and integrating new engineering team members.
• Driving the professional growth, engagement, and performance of engineers on your team.
• Guaranteeing the systems under your team's ownership are performing effectively, meeting service level commitments, and prepared to scale.
• Anticipating upcoming technical requirements and developing strategies to address them.
• Delivering feedback and direction to support our continuous growth and expansion.

Qualifications

• 7+ years experience leading data and analytics engineering teams.
• 10+ years of overall development experience, especially relating to Data Platforms and Products (SQL, Python, Java, Scala, or strongly typed languages preferred).
• Strong understanding of Data warehousing, Batch and streaming data pipelines, Data orchestration and workflow management, Data modeling and transformation frameworks, Metadata, lineage, and governance systems, Data observability and reliability practices.
• Ability to balance technical excellence with business outcomes.
• Strong systems thinking and prioritization skills.
• Deep proficiency with data application development and building scalable architecture for enterprise-grade data warehouses and streaming engines.
• Ability to be a hands-on contributor when needed with a focus on enablement.
• Experience planning and leading development efforts on large projects.
• Previous experience leading and mentoring teams and driving them toward big goals with consistent execution.
• Excellent communication skills to succinctly explain deep technical concepts.
• Experience leading Agile/Scrum ceremonies.
• Previous experience working within a balanced engineering and product team.
• Authorized to work lawfully in the United States of America.

Requirements

• Tier 1 Salary Hiring Range: $268,260 — $325,068 USD.
• Tier 2 Salary Hiring Range: $245,905 — $297,979 USD.
• Tier 3 Salary Hiring Range: $223,550 — $270,890 USD.
• Base salary is just one component of Calendly’s total rewards package.
• All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits.
• Calendly uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
• This role may require occasional travel for company events, team collaboration, or offsites.