Senior Engineering Manager, Data Platform

Calendly

10h•$223,550 - $325,068•Remote

About The Position

Calendly is seeking a Senior Engineering Manager for their Data Platform with deep expertise in people leadership, technical delivery, and organizational development. This role is central to the Data, AI, and Infrastructure organization, reporting directly to the VP of Data. The position involves owning the development and expansion of the infrastructure and data platforms that enable all Calendly teams to leverage trusted data, ultimately enhancing the customer scheduling experience. The role requires leading the strategy, execution, and evolution of Calendly’s modern data platform, overseeing systems, architecture, and engineering practices for reliable, scalable, secure, and self-service data access. It's a highly cross-functional role partnering with product Engineering, Product Management, Product Analytics, Security, Infrastructure, and AI/ML teams. The position spans Data Engineering and Analytics Engineering, maintaining technical excellence across services. The team will manage the Enterprise Data Warehouse, collecting, processing, and overseeing data for analytics, operations, and strategic decisions, as well as Calendly's near-real-time data systems. This requires close collaboration with product engineering and internal analytics groups to understand their requirements and success drivers. Ideal candidates can provide direction amid uncertainty, independently investigate solutions, and own the mentoring, development, and strategic planning for their team's growth, significantly influencing the product's quality and evolution.

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

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.