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Everpure

Data Architect

Remote, United States

$126,000 - $273,000 USD

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Job details

Pay: $126,000 - $273,000 USD
Posting language: English
Posted: Nov 9, 2026

Original job description

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work - work that changes the world - is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

Everpure is building its Data Products portfolio on a fundamental Data Primacy thesis: data is the durable enterprise asset, and applications are the fuel consumed and replaced over time. As Data Architect within CX Platforms and Delivery Innovation, you will establish governed sources of truth across Everpure’s enterprise ecosystem - running Everpure on Everpure - and translate those proven architectures into repeatable offerings for customers. Working at the intersection of internal engineering build and customer-facing strategy, you will partner directly with Field Deployed Engineering, Product, Services, and the Digital Transformation Group. Your work establishes the mission-critical foundation of governed, reusable data and AI pipelines that powers every CX workflow, partner interaction, and customer transformation.

WHAT YOU’LL DO

Architect Everpure on Everpure: Design and operationalize the internal data estate on Everpure technologies, establishing Everpure as Customer Zero to prove and refine reference architectures before they enter the market.
Stand Up Governed, Enforceable Data Products: Establish authoritative "one passport, many consumers" data products and schema-enforced data contracts across core enterprise platforms (including CRM, MDM, and ERP) to eliminate data silos and accelerate analytics and AI delivery.
Drive the CX Transformation Roadmap: Lead the architectural vision that balances strategic transformation with iterative agile delivery, shipping production-grade code, data models, and contracts that deliver measurable operational value.
Advise Enterprise Customers in the Field: Partner with Field Deployed Engineering teams to deliver high-impact technical advisory, design reviews, and modern lakehouse/streaming reference architectures for enterprise customers scaling their data foundations on the Everpure Platform.
Productize Field and Internal Innovation: Package validated internal architecture patterns into scalable CX service offerings while funneling field insights directly back into core Product and Services roadmaps.

WHAT YOU BRING

Demonstrated track record of architecting and shipping production data platforms, lakehouse systems, and streaming pipelines using technologies such as Databricks, Snowflake, Apache Iceberg, Delta Lake, Kafka, Spark, or dbt.
Proven expertise designing data products and implementing enforceable data contracts, domain-driven ownership models, and robust master data management across enterprise application ecosystems (e.g., Salesforce, ServiceNow, Reltio, Oracle).
Strong technical communication and advisory capabilities, with demonstrated success guiding cross-functional stakeholders and enterprise technical leaders through complex architectural decisions.
Practical experience leveraging modern AI development tools and automated workflows to accelerate data modeling, pipeline engineering, and contract governance.

Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.

This role may be eligible for incentive pay and/or equity.

There is no application deadline and we accept applications on an ongoing basis until the job is filled.

The annual base salary range is:

$126,000 - $273,000 USD

WHAT YOU CAN EXPECT FROM US:

Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.

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More about this job

Skills

Supply chain management
Workflow
Mobile device management
ERP
Data models
Databricks
Snowflake
Apache Kafka
Apache Spark
dbt
Data management
Salesforce
ServiceNow
Oracle
Communication skills
Data modelling

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