Calendly
SeniorEngineeringManager,DataPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineering Manager, Data Platform at Calendly. Skills: Data Platform, People leadership, Technical delivery. Define and execute long-term strategy for data platform. Build scalable, reliable, cost-efficient platform”
Industry & Context.
Systems thinking; Prioritization; Investigate solutions
Occasional travel, Not eligible for employment in AK, DE, HI, ID, IA, MT, NE, ND, RI, SD, WV
What They're Looking For.
Must Have
7+ years experience leading data and analytics engineering teams, 10+ years overall development, Data Platforms and Products experience, Data warehousing understanding, Batch and streaming data pipelines understanding, Data orchestration and workflow management understanding, Data modeling and transformation frameworks understanding, Metadata, lineage, and governance systems understanding, Data observability and reliability practices understanding, Ability to balance technical excellence with business outcomes, Systems thinking and prioritization skills, Deep proficiency with data application development, Building scalable architecture for enterprise grade data warehouses, Building scalable architecture for streaming engines, Ability to be a hands on contributor, Experience planning and leading development efforts on large projects, Previous experience leading and mentoring teams, Driving teams toward big goals with consistent execution, Excellent communicator, 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
Nice to Have
SQL, Python, Java, Scala, or strongly typed languages preferred, Focus on enablement
What You'll Do.
Define and execute long-term strategy for data platform
cost-efficient platform
Support analytics use cases
Support experimentation use cases
Support operational reporting use cases
Support machine learning use cases
Drive modernization initiatives across data ingestion
Drive modernization initiatives across data transformation
Drive modernization initiatives across data orchestration
Drive modernization initiatives across data governance
Drive modernization initiatives across data observability
Drive modernization initiatives across data serving layers
Build internal platform capabilities
Empower data scientists
Empower product teams
Improve data discoverability
Improve data governance
Drive adoption of self-service tooling
Drive adoption of standardized workflows
Recruit people leaders
Expand existing teams
Accelerate progress for engineering organization
Guide new engineering team members
Develop new engineering team members
Integrate new engineering team members
Drive professional growth of engineers
Drive engagement of engineers
Drive performance of engineers
Guarantee systems are performing effectively
Meet service level commitments
Prepare systems to scale
Anticipate upcoming technical requirements
Develop strategies to address technical requirements
Support continuous growth
How You'll Work.
Team & Collaboration
Cross-functional leadership; Partner with product Engineering teams; Partner with Product management; Partner with product Analytics; Partner with Security; Partner with Infrastructure teams; Partner with AI/ML teams; Collaborate with product engineering teams; Collaborate with internal analytics groups; Work within balanced engineering and product team
Communication Scope
Explain deep technical concepts
Process & Methodology
Agile, Scrum
Full Job Description
What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. About the team & opportunity What’s so great about working on Calendly’s Engineering team? We make things possible for our customers through impactful innovation. Why do we need you? We're seeking a Senior Engineering Manager for our Data Platform with deep expertise in people leadership, technical delivery, and organizational development. This role sits at the core of our Data, AI, and Infrastructure organization. Reporting directly to the VP of Data, you'll own the development and expansion of the infrastructure and data platforms that enable all Calendly teams to leverage and rely on trusted data. Your work will enable a best-in-class scheduling experience and help millions of users host better meetings. A day in the life of an Engineering Manager at Calendly As a Senior Manager, Data Platform, you will have the opportunity to lead the strategy, execution, and evolution of Calendly’s modern data platform. This leader will oversee the systems, architecture, and engineering practices that enable reliable, scalable, secure, and self-service access to data across the company. This is a highly cross-functional leadership role that partners closely with various product Engineering teams, Product management, product Analytics, Security, Infrastructure and AI/ML teams. This position spans Data Engineering and Analytics Engineering functions - maintaining technical excellence and uniformity across our services. Your team will manage our Enterprise Data Warehouse - collecting, processing, and overseeing data t
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