Principal Engineer, Data Infrastructure

· Remote

Location

Remote

Type

Full Time

Job Description

KlaviyoJobs
Principal Engineer Data Infrastructure

Principal Engineer Data Infrastructure

Posted Yesterday
Easy Apply
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Boston MA USA
Hybrid
244K-366K Annually
Expert/Leader
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Best place for ambitious people to learn and grow.
The Role
Lead design and delivery of Klaviyo's scalable data platform (streaming batch lakehouse governance). Define SLOs author ADRs/RFCs implement ingestion/CDC processing storage catalog/lineage and access controls. Optimize performance/cost apply ML/GenAI to data workflows partner with product/analytics contribute code/reviews and mentor senior engineers to enable reliable multi‑tenant data at scale.
Summary Generated by Built In

At Klaviyo we value the unique backgrounds experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

Own the technical direction and delivery for Klaviyo's data platform - streaming batch compute storage/lakehouse and governance - now the foundation for autonomous agent-driven experiences. Klaviyo's data platform processes billions of events daily across billions of consumer profiles for hundreds of thousands of brands and increasingly that data is consumed not just by people but by a growing number of AI agents acting on customers' behalf. The footprint grows on two axes at once ever‑larger data volumes and a steady stream of new data scenarios (new sources domains and consumption patterns) and your systems have to scale on both. 

You'll design and ship systems that are fast reliable cost‑efficient and safe for autonomous access creating paved roads for data producers and consumers human and agent alike. This is an individual‑contributor role (no direct reports); you lead through architecture code and influence. Expectations align to Lead/Principal IC behaviors: establishing SLOs driving technical evolution and acting as the interface across teams.

What You'll Do

  • Design and implement core data platform capabilities (e.g. event ingestion/CDC stream processing batch orchestration data lake/warehouse patterns catalog/lineage governance access and compliance).
  • Define and uphold SLOs for data freshness availability and correctness; author/run readiness reviews incident response and post‑incident learning for your domain.
  • Author ADRs/RFCs land data contracts and schema governance and standardize connectors and templates that accelerate developer velocity.
  • Profile tune and right‑size systems for performance and cost; partner with FinOps on unit‑economics guardrails.
  • Pair with product teams and analytics/ML to expose the right abstractions and unblock customer value quickly.
  • Contribute high‑quality code and reviews; mentor Staff/ Sr. engineers across pillars through example and enablement (not line management).
  • Use AI to streamline data workflows from authoring and testing pipelines to catalog/search and DQ so analysts ML and product teams move faster with confidence.

Who You Are

  • Experience: 10+ years building and operating distributed data systems (e.g. Kafka/PubSub Flink/Spark/Beam Airflow/Dagster Iceberg/Delta/Hudi; Snowflake/BigQuery; object storage) with multi‑tenant reliability.
  • Technical expertise: Data ingestion/CDC stream processing batch orchestration lakehouse patterns catalog/lineage governance and access controls measured by freshness availability and correctness SLOs.
  • AI tools & automation: You apply ML/GenAI to data platforms - semantic catalog search auto‑docs data‑quality anomaly detection SQL/pipeline generation - with human‑in‑the‑loop review and privacy controls.
  • Influence & enablement: You land data contracts connectors and templates that speed delivery for producers and consumers; you mentor via design docs and pairing.
  • AI fluency (Klaviyo default): You experiment learn fast and share AI wins responsibly.

Nice to Haves

  • Regional isolation/replication strategies privacy‑by‑design and data governance in regulated contexts.
  • Adopted paved roads: Producers/consumers are on standard ingestion processing and storage paths; schema governance and contracts reduce breakage.
  • SLOs & efficiency: ≥99.9% freshness for key domains; measurable cost/TB reductions; production debugging is faster with defined readiness reviews and incident learning.
  • AI‑augmented data operations: Semantic discovery and auto‑documentation cover the majority of high‑value datasets; AI‑assisted DQ monitors reduce data incidents on top pipelines by 25–40%; pipeline authoring and review times drop 15–25% with AI in the loop.

Success in 6 - 12 Months

  • Adopted “paved roads” for producers/consumers; ≥99.9% freshness SLO for key domains; measurable cost/TB reductions.
  • One or more step‑change improvements (e.g. 2× faster ingest → analytics latency) demonstrated with metrics and post‑incident trend‑down.

Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors including the applicant’s job-related skills relevant experience education or training and work location.

In addition to base salary our total compensation package may include participation in the company’s annual cash bonus plan variable compensation (OTE) for sales and customer success roles equity sign-on payments and a comprehensive range of health welfare and wellbeing benefits based on eligibility. 

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:
$244000$366000 USD

This role may require up to 10% travel for purposes such as new hire onboarding client or partner work if applicable team meetings and industry events. Travel is coordinated in advance.

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career where you’ll be welcomed as your whole self from day one and supported with generous benefits we hope you’ll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy security bias awareness and human-in-the-loop). We provide accommodations as needed. 

By participating in Klaviyo’s interview process you acknowledge that you have read understood and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data see our Job Applicant Privacy Notice.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race ethnicity citizenship national origin color religion or religious creed age sex (including pregnancy) gender identity sexual orientation physical or mental disability veteran or active military status marital status criminal record genetics retaliation sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment bank details or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com) instant messaging platforms or unsolicited calls.
 
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data please do not submit an application.  You can find our Job Applicant Privacy Notice here and here (FR).
 

Skills Required

  • 10+ years building and operating distributed data systems
  • Experience with Kafka and Google Pub/Sub
  • Experience with stream processing frameworks (Flink Spark Beam)
  • Experience with orchestration tools (Airflow Dagster)
  • Experience with lakehouse storage formats (Iceberg Delta Hudi)
  • Experience with cloud data warehouses (Snowflake BigQuery) and object storage
  • Expertise in data ingestion/CDC stream processing batch orchestration catalog/lineage governance and access controls
  • Proven experience defining and upholding SLOs for data freshness availability and correctness
  • Experience applying ML/Generative AI to data platform workflows (catalog/search auto-documentation DQ pipeline generation)
  • Ability to author ADRs/RFCs land data contracts and schema governance and standardize connectors/templates
  • Strong coding code review skills and mentoring of Staff/Senior engineers
  • Regional isolation/replication strategies privacy-by-design and data governance in regulated contexts
  • Experience adopting paved roads schema governance and measurable cost/TB optimizations
  • Experience with AI-augmented data operations that reduce incidents and speed pipeline authoring

What the Team is Saying

Amit
Eva
Tai
Mads
Uche
Ben
Risa
Kit
Angela
Laksh
Laksh
Devin
Anthoney Kelley
Carmel
Carmel
Andrew Bialecki
Mohamed Ali

Klaviyo Compensation & Benefits Highlights

How does Klaviyo ensure its pay and bonus plans are competitive?

Klaviyo supports competitive pay through a total rewards approach that combines salary equity bonus opportunities benefits learning support and a performance culture tied to measurable impact. 

  • Competitive total rewards: Klaviyo’s benefits overview highlights competitive salaries 401(k) match employee referral bonuses equity an employee stock purchase plan flexible paid time off commuter/transit support fitness reimbursements mental and emotional wellbeing programming and learning support. External reviews reinforce the value of the package with employees citing competitive pay bonuses RSUs ESPP health insurance parental leave unlimited PTO and learning stipends as meaningful parts of the employee experience.
  • Pay connected to impact and outcomes: Klaviyo’s handbook frames performance around ownership clarity and measurable results. The value “Know the score” states that results matter more than effort alone while “Drivers wanted” emphasizes proactive ownership and “Be meticulous in your craft” reinforces a high bar for work quality. That creates a compensation and recognition philosophy where strong outcomes not just activity are central to advancement and rewards.
  • Equity and long-term value: Equity is a visible part of Klaviyo’s rewards story. Klaviyo offers equity packages to all full-time employees vesting over four years and provides an employee stock purchase plan. That ownership opportunity sits within a growing business: in Q1 2026 Klaviyo reported $358 million in revenue up 28% year over year and raised full-year 2026 revenue guidance to $1.514 billion to $1.522 billion. Those business results give employees a clear connection between company performance long-term growth and the value of ownership-based compensation.
  • Rewards supported by growth and development benefits: Klaviyo’s compensation package is paired with benefits that help employees grow their careers and build long-term value. K-Pro Learn learning stipends mentorship Career Architecture and manager development programs support continued skill-building. A customer success manager noted that Klaviyo offers a learning stipend for job-related coaching or training while employee survey insights show 78% of respondents feel they are gaining the skills and experience to grow their careers.
  • External signals:
    • Compensation Sentiment: External reviews frequently praise Klaviyo’s competitive salary bonuses equity RSUs ESPP 401(k) match learning stipend and generous benefits. (Glassdoor; Comparably)
    • Rewards Ratings: Comparably rates Klaviyo’s compensation an A and perks and benefits an A. (Comparably)
    • Employee Value Signals: Reviews highlight PTO health insurance parental leave office amenities learning support and work-life balance as part of the overall rewards package. (Glassdoor; Comparably)

Bottom line: Klaviyo keeps compensation competitive by combining salary bonus opportunities equity ESPP retirement support benefits and learning resources with a culture that rewards ownership measurable outcomes and long-term impact.

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The Company
Boston MA
2400 Employees
Year Founded: 2012

What We Do

Klaviyo (NYSE: KVYO) is the B2C CRM. Powered by its built-in data platform and AI Klaviyo combines marketing automation analytics and customer service into one unified solution making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 183000 brands like Mattel Glossier Daily Harvest and Liquid Death deliver 1:1 experiences at scale improve efficiency and drive revenue.

Why Work With Us

We refer to our employees as ‘Klaviyos’ and we make up a diverse community united around shared values: We’re curious collaborative driven innovative fun and fully ourselves at work. No matter which team you join your work won’t just impact Klaviyo. It’ll help empower our customers and enable creators across the globe to own their destinies.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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Date Posted

06/24/2026

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