Platform Engineering Lead - Cloud & Analytics

Platform Engineering Lead - Cloud & Analytics

Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the development of a cloud-native analytics platform and mentor engineering teams.
  • Company: Join a leading firm in Capital Markets with a focus on innovation.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic role with significant impact on business outcomes and team success.
  • Why this job: Shape the future of analytics while empowering engineers across multiple teams.
  • Qualifications: Proven experience in engineering leadership and cloud technologies.

The predicted salary is between 63000 - 77000 $ per year.

Capital Markets seeks an experienced Engineering Lead to drive a cloud-native analytics platform used by multiple dev teams.

You will shape architecture, standards and platform direction while mentoring engineers to deliver robust solutions at scale.

You will collaborate with business stakeholders to translate requirements into scalable, reliable systems, champion modern Dev Ops practices, and empower hundreds of engineers through a unified platform.

Platform Engineering Lead - Cloud & Analytics employer: at

At ALH Hotels, we pride ourselves on being a vibrant and inclusive workplace where every team member is valued. As an Assistant Manager at the Sail and Anchor, you'll not only enjoy competitive benefits like discounts across our brands and comprehensive wellbeing support, but you'll also have the opportunity to grow your career within the Endeavour Group network. Join us in creating a welcoming atmosphere for locals while developing your leadership skills in a dynamic pub environment.

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Contact Details:

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We think you need these skills to ace Platform Engineering Lead - Cloud & Analytics

Cloud-Native Architecture
Analytics Platform Development
Mentoring and Leadership
Collaboration with Stakeholders
Requirements Translation
Scalable Systems Design
DevOps Practices