Senior Engineering Manager, Data Platform

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Calendly

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

☁️ SaaS

⚡ Productivity

🏢 Enterprise

💰 $3.5G Series B on 2021-01

SaaS • Productivity • Enterprise

Calendly is a leading scheduling platform, trusted by over 100,000 organizations worldwide, including 86% of Fortune 500 companies. It simplifies the process of scheduling meetings through integrations with Google Calendar, Microsoft Outlook, and other calendar systems. Calendly offers tools for automated meeting reminders, follow-ups, and customizable scheduling options, making it suitable for individual users and enterprise organizations alike. With features like video conferencing tool integration, custom event types, and comprehensive admin management, it supports a seamless scheduling experience and boosts productivity across teams. Calendly’s platform integrates with over 70 other tools to enhance workflow efficiencies, offering solutions for individuals, teams, and enterprise-level clients.

📋 Description

• 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.

🏖️ Benefits

• All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive) • Equity awards • Competitive benefits