Senior Engineering Manager, Data Platform

Calendly Calendly · Enterprise · Remote · Engineering

Senior Engineering Manager for Data Platform responsible for the strategy, execution, and evolution of Calendly's modern data platform. This role oversees systems, architecture, and engineering practices for reliable, scalable, secure, and self-service data access, enabling analytics, experimentation, operational reporting, machine learning, and AI use cases. The team manages the Enterprise Data Warehouse and near-real-time data systems, focusing on data ingestion, transformation, orchestration, governance, observability, and serving layers.

What you'd actually do

  1. Define and execute the long-term strategy for Calendly’s data platform and ecosystem.
  2. Build a scalable, reliable, and cost-efficient platform that supports analytics, experimentation, operational reporting, machine learning, and AI use cases.
  3. Drive modernization initiatives across data ingestion, transformation, orchestration, governance, observability, and serving layers.
  4. Build internal platform capabilities that empower analysts, data scientists, ML engineers, and product teams.
  5. Improve data discoverability, governance, lineage, and quality.

Skills

Required

  • People leadership
  • Technical delivery
  • Organizational development
  • Data Platform strategy and execution
  • 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
  • Data application development
  • Scalable architecture for enterprise grade data warehouses and streaming engines
  • Agile/Scrum methodologies
  • SQL
  • Python
  • Java
  • Scala

Nice to have

  • Enablement
  • Cross-functional collaboration
  • Mentoring engineers
  • Driving adoption of self-service tooling

What the JD emphasized

  • deep expertise in people leadership, technical delivery, and organizational development
  • own the development and expansion of the infrastructure and data platforms
  • highly cross-functional leadership role
  • maintain technical excellence and uniformity across our services
  • own the mentoring, development, and strategic planning for your team's growth
  • significantly influence the quality and evolution of a product used by millions
  • 7+ years experience leading a data and analytics engineering teams
  • 10+ years of overall development - especially relating to Data Platforms and Products
  • 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
  • Deep proficiency with data application development and building scalable architecture for enterprise grade data warehouses and streaming engines
  • 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

Other signals

  • Enabling AI/ML use cases
  • Data platform for AI/ML
  • Scalable data infrastructure