ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Data Platform Engineer at Klaviyo - ApplyBlast

Data Platform Engineer

Klaviyo

1 month ago

3.3 on Glassdoor

Boston, Massachusetts, United States

Onsite

Full Time

Senior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

The Data Platform Engineer at Klaviyo designs, builds, and maintains mission-critical data and analytics infrastructure on a real-time platform hosted on AWS. This role involves collaborating with cross-functional teams to create system infrastructure, write high-quality code, and operate large-scale systems in production. The position also includes reviewing designs and code, providing technical mentorship, and establishing best practices for the Data Platform area.

Responsibilities

Design and build mission critical data and analytics infrastructure
Write technical design documents and create system infrastructure
Review engineer designs and provide technical mentorship

Skills

Qualifications

BA or BS Degree in Computer Science, related field, or equivalent experience

About Klaviyo

klaviyo.com

Headquarters

Boston, Massachusetts, United States

Company Size

1001-5000 employees

Founded

2012

View Profile

Klaviyo is a B2C CRM and marketing automation platform that unifies AI-powered email and SMS to help ecommerce brands drive growth and retention. It uses customer data, advanced segmentation, and automation flows to deliver personalized, omnichannel experiences across email, SMS, WhatsApp, and more — including AI-driven capabilities via K:AI Agents. Klaviyo emphasizes measurable results with analytics, testing, and integrations with major ecommerce platforms to boost revenue and lifetime value. Companies use it to build targeted lifecycle campaigns, personalized messaging, and data-driven retention strategies at scale.