Senior Engineering Manager, Data Platform

Calendly is a company that is experiencing exciting product growth and is seeking a Senior Engineering Manager for their Data Platform. This role involves leading the strategy and execution of Calendly’s modern data platform while collaborating with various teams to ensure reliable access to data and improve the overall scheduling experience for users.

Responsibilities:

• Define and execute the long-term strategy for Calendly’s data platform and ecosystem
• Build a scalable, reliable, and cost-efficient platform that supports analytics, experimentation, operational reporting, machine learning, and AI use cases
• Drive modernization initiatives across data ingestion, transformation, orchestration, governance, observability, and serving layers
• Build internal platform capabilities that empower analysts, data scientists, ML engineers, and product teams
• Improve data discoverability, governance, lineage, and quality
• Drive adoption of self-service tooling and standardized workflows
• Recruit engineers and people leaders to expand both new and existing teams across the organization, with responsibility for all hires joining the squad
• Address challenges that accelerate progress for the entire engineering organization
• Guide, develop, and integrate new engineering team members
• Drive the professional growth, engagement, and performance of engineers on your team
• Guarantee the systems under your team's ownership are performing effectively, meeting service level commitments, and prepared to scale
• Anticipate upcoming technical requirements and develop strategies to address them
• Deliver feedback and direction to support our continuous growth and expansion

Requirements:

• 7+ years experience leading a data and analytics engineering teams
• 10+ years of overall development - 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 need be 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
• You are an excellent communicator who can 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 as Calendly does not engage in immigration sponsorship at this time