Senior Engineering Manager, Data Platform

New

CalendlyData Platform

Remote - USFull-TimeManager

Salary223,550 - 325,068 USD per year

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Job Details

Experience: 7+ years experience leading a data and analytics engineering teams; 10+ years of overall development
Required Skills: PythonSQLAgileJavaPeople ManagementSCRUMData engineeringScala

7+ years experience leading a data and analytics engineering teams
10+ years of overall development, especially in Data Platforms and Products
Proficiency in SQL, Python, Java, or Scala
Strong understanding of Data warehousing, Batch and streaming data pipelines, Data orchestration and workflow management
Experience with Data modeling, transformation frameworks, metadata, lineage, and governance systems
Deep proficiency with data application development and scalable architecture
Experience planning and leading development efforts on large projects
Previous experience leading and mentoring teams
Experience leading Agile/Scrum ceremonies
Experience working within a balanced engineering and product team

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.
Guarantee the systems under your team's ownership are performing effectively, meeting service level commitments, and prepared to scale.

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