Pure Storage

Solution Architect, Data Engineering and Analytics

Pure Storage

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $187,000 - $299,000 per year

Job Level

SeniorLead

Tech Stack

AirflowAmazon RedshiftApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopKubernetesLinuxNFSOpenShiftPythonSparkVMware

About the role

  • Own Pure’s Data Analytics solutions from concept to execution and sustaining
  • Define and execute the solutions roadmap through strategic collaboration on solution direction, design, development, validation, documentation and evangelism
  • Develop technical documentation including reference architectures, best practices, white papers, and solution briefs
  • Showcase Data Analytics solutions in lab environments for field and partner enablement, customer POCs and demos
  • Present solutions to customers, partners, and internal teams translating technical details into business value
  • Partner with engineering, product management, field architects, professional services and marketing to drive market growth and roadmap alignment
  • Collaborate with marketing to develop messaging, presentations, and technical content highlighting business value
  • Plan, outline, publish and own the document lifecycle of Data Analytics & Engineering solutions
  • Collaborate with field teams to understand Enterprise customer challenges and deliver practical solutions
  • Work collaboratively within a team and cross-functionally to achieve goals and drive innovation
  • Communicate clearly and concisely in both verbal and written forms tailored to audience
  • Manage multiple priorities and tasks ensuring timely and effective delivery of projects

Requirements

  • Experience in the real world building, deploying and managing Data Analytics technologies, Data Pipelines, Data Engineering, ELT/ETL, Data Transformation, Data Lakehouses, Hadoop, etc.
  • Platform Expertise: Snowflake, Starburst, Dremio, Apache Spark, Airflow, Redshift, Looker
  • Storage Proficiency: understanding of block, file, and object storage protocols (FC, iSCSI, NFS, SMB, S3)
  • Platform Knowledge: on-prem and hybrid-cloud platforms (Nutanix, VMWare, OpenShift, Kubernetes), public cloud (AWS, Azure, GCP)
  • Solution Architecture experience building, designing, validating, troubleshooting and documenting comprehensive Data Analytics solutions
  • Technical Marketing Skills and ability to communicate value to buyers, influencers and decisionmakers
  • Performance Optimization knowledge of I/O protocols, pathways and tuning practices
  • Understanding of emerging trends in vectorization, data engineering and analytics
  • Understanding of large scale Data Analytics environments and Enterprise Customer issues
  • Systems Engineering Knowledge: Linux, Bash/Python scripting, IP Networking
  • Strong troubleshooting and diagnostic skills for performance issues
  • Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent experience
  • Minimum of 8 years of experience in database architecture, Data Analytics solutions, and related technologies
  • Proven ability to execute on strategies and deliver high-quality solutions
  • Excellent verbal and written communication skills, with ability to present to both technical and executive audiences
  • Demonstrated adaptability to learn new technologies and respond to evolving needs
  • Self-starter who thrives in a fast-paced setting with minimal supervision
  • Expected to work from the Santa Clara, CA office in compliance with Pure’s policies