Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $126k - $273k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Pure Storage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Pure Storage is a leader in the field of data storage platforms, renowned for its innovative solutions in the industry. It has been consistently recognized as a leader in the Gartner Magic Quadrant for both Primary Storage Platforms and File and Object Storage Platforms, achieving the highest marks in Execution and Vision. Pure Storage provides scalable and sustainable storage solutions that cater to both enterprise and cloud needs, emphasizing zero downtime and seamless performance. It offers a range of services including AI infrastructure, cloud deployments, and data protection, making it a critical player in modern data management.

📋 Description

• Design and operationalize the internal data estate on Everpure technologies • Establish Everpure as Customer Zero to prove and refine reference architectures • Establish authoritative data products and schema-enforced data contracts across CRM, MDM, and ERP platforms • Lead the CX transformation architectural vision while delivering production-grade code, data models, and contracts • Advise enterprise customers through technical advisory, design reviews, and modern lakehouse/streaming reference architectures • Package validated architecture patterns into scalable CX service offerings • Feed field insights into Product and Services roadmaps • Partner with Field Deployed Engineering, Product, Services, and Digital Transformation teams

🎯 Requirements

• Demonstrated track record architecting and shipping production data platforms, lakehouse systems, and streaming pipelines • Experience with Databricks, Snowflake, Apache Iceberg, Delta Lake, Kafka, Spark, or dbt • Expertise designing data products and implementing enforceable data contracts • Experience with domain-driven ownership models and master data management • Experience across enterprise application ecosystems such as Salesforce, ServiceNow, Reltio, or Oracle • Strong technical communication and advisory capabilities • Success guiding cross-functional stakeholders and enterprise technical leaders through complex architectural decisions • Practical experience with modern AI development tools and automated workflows • Education is optional

🏖️ Benefits

• Flexible time off • Wellness resources • Company-sponsored team events • Growth and development support • Employee Resource Groups • Reasonable accommodations for candidates with disabilities • Incentive pay and/or equity may be available

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