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Staff Data Architect

Chewy

Staff Data Architect

Chewy

Bellevue, WA; Boston, MA

·

On-site

·

Full-time

·

2w ago

Compensation

$155,500 - $249,000

Benefits & Perks

401(k)

Equity

Unlimited PTO

Parental Leave

Healthcare

Mental Health

401k

Equity

Unlimited Pto

Parental Leave

Healthcare

Mental Health

Required Skills

Data architecture

Data modeling

Cloud data platforms

Data pipelines

Data governance

SQL

Our Opportunity:

At Chewy, we’re on a mission to become the most trusted and convenient destination for pet parents everywhere. The Data Platform team in the Marketing Sciences Organization sits at the intersection of data, marketing, and innovation — helping us understand our customers, personalize their experiences, and measure the impact of every interaction.

We’re looking for a Staff Data Architect who is passionate about building data ecosystems that unlock insights and fuel smarter decisions. This is more than an architecture role — it’s an opportunity to shape how Chewy thinks about marketing data at scale and to help drive the future of customer engagement.

  • What You’ll Do

  • Design the blueprint for how marketing data is collected, connected, and activated across Chewy.

  • Build the foundation for advanced analytics, experimentation, and personalization by creating scalable and reliable data models.

  • Partner with engineers, data scientists, and analysts to bring data to life in ways that help marketers make smarter, faster decisions.

  • Champion data quality and trust, ensuring that every report, dashboard, and model is powered by reliable, well-structured data.

  • Bring fresh ideas to the table by evaluating emerging data and martech tools that help us innovate and stay ahead.

  • Act as a connector, bridging the gap between business needs and technical possibilities to unlock new opportunities for growth.

  • What You’ll Need to Succeed

  • 10+ years of experience designing data systems and architectures — ideally with large-scale customer or marketing data.

  • Deep expertise in data modeling (relational, dimensional, and NoSQL) and building for both analytics and operational needs.

  • Strong experience with modern cloud data platforms (Snowflake, BigQuery, Redshift, etc.) and data pipelines (dbt, Airflow, Kafka, etc.).

  • Familiarity with martech and adtech ecosystems (CRM, CDPs, attribution tools, and digital media platforms).

  • A collaborative mindset — you thrive in cross-functional environments and know how to translate complex problems into clear solutions.

  • A strong grasp of data governance, security, and compliance, with an ability to balance innovation with responsibility.

  • Bonus Skills

  • Hands-on work with real-time data pipelines that power personalization or triggered campaigns.

  • Experience supporting machine learning pipelines in production environments.

  • Curiosity about customer behavior, attribution, and campaign optimization.

Why You’ll Love This Role:

Joining Marketing Sciences at Chewy means you’ll be surrounded by teammates who are curious, collaborative, and passionate about data’s role in transforming customer experiences. You’ll have the chance to:

  • Shape the future of how Chewy measures and optimizes marketing impact.

  • Work at scale, with rich datasets spanning millions of customers, campaigns, and interactions.

  • Make your mark, building the architecture that enables innovation in personalization, attribution, and beyond.

  • Be part of a team that cares — about data, about collaboration, and about making a difference for pet parents everywhere.

The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Base Salary Range**$155,500—$249,000 USD**

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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About Chewy

Chewy

Chewy

Public

A food database that provides personalized meal plans, food analytics, AI-based food discovery, and tracks fitness journey.

1-50

Employees

Chennai

Headquarters

$7.5B

Valuation

Reviews

2.9

25 reviews

Work Life Balance

2.1

Compensation

3.2

Culture

2.3

Career

3.1

Management

1.8

35%

Recommend to a Friend

Pros

Good pay and compensation

Career advancement opportunities

Regular raises and recognition

Cons

Poor management and leadership

Excessive work hours and workload

Lack of employee care and support

Salary Ranges

1,354 data points

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

Director

Junior/L3 · Business Intelligence Engineer I

1 reports

$133,383

total / year

Base

$115,766

Stock

-

Bonus

-

$133,383

$133,383

Interview Experience

12 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 0%

Neutral 58%

Negative 42%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit