Role overview

As a Data Architect within the CX Platforms and Delivery Innovation team, you will design and operationalize Everpure’s internal data infrastructure while translating those architectures into customer-facing offerings. You will work at the intersection of internal engineering and customer strategy, partnering with Field Deployed Engineering, Product, Services, and the Digital Transformation Group to establish governed data and AI pipelines that power enterprise workflows and customer transformation initiatives.

Key responsibilities

Design and operationalize the internal data estate using Everpure technologies, establishing the company as a reference customer to validate and refine architectures before market release.
Establish authoritative data products and schema-enforced data contracts across core enterprise platforms including CRM, MDM, and ERP systems to eliminate data silos and accelerate analytics and AI delivery.
Lead the architectural vision for the CX transformation roadmap, balancing strategic transformation with iterative delivery while shipping production-grade code, data models, and contracts that deliver measurable operational value.
Partner with Field Deployed Engineering teams to provide technical advisory, design reviews, and modern lakehouse and streaming reference architectures for enterprise customers scaling their data foundations.
Package validated internal architecture patterns into scalable CX service offerings and feed field insights back into core Product and Services roadmaps.

Requirements

Demonstrated track record 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 master data management across enterprise application ecosystems such as Salesforce, ServiceNow, Reltio, or 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.

What makes this role worth considering

You will work for a data platform company that closed its first billion-dollar quarter in fiscal 2026, positioning you at the center of rapid growth into AI and hyperscaler markets. The role offers the opportunity to shape both internal transformation and customer-facing innovation, with flexible time off, wellness resources, and company-sponsored team events as part of a workplace recognized by Fortune as one of the best in technology.