Solution Architect, Data Engineering & Analytics

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

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.

We are seeking a highly skilled and self-driven Solutions Architect specializing in Data Analytics to join our team in defining and driving Pure’s innovative solutions that support our strategic growth and go to market initiatives with Enterprise customers across the globe. You will be part of a highly collaborative, cross functional team as the owner of Pure’s Data Analytics solutions—from concept to execution and sustaining. Leveraging the power of Pure’s market leading data storage platforms, your solutions will drive market leadership in existing and emerging business challenges in the areas of Data Analytics, Data Engineering and Data Warehousing, Data Pipelines and ML Ops applications for Pure’s customers, partners, and field sales teams.

SHOULD YOU ACCEPT THIS CHALLENGE...

• Data Analytics and Engineering Solutions Development: Definition and execution of the solutions roadmap through strategic collaboration on solution direction, design, development, validation, documentation and evangelism of Data Analytics Solutions with Pure’s block, file, snapshot and data protection workflows.
• Develop Technical Collateral: Develop technical documentation, including reference architectures, best practices, white papers, and solution briefs, that effectively communicate the value of Pure Storage solutions for Data Analytics workloads to both technical and non-technical audiences.
• Lab Validation and Demonstration: Showcase Data Analytics solutions with Pure’s technologies in lab environments for use in field and partner enablement, customer POCs and Demos. 
• Stakeholder Engagement: Present solutions to customers, partners, and internal teams, translating technical details into business value and actionable insights.
• Cross-Functional Collaboration: Partner with engineering, product management, field architects, professional services and marketing teams to drive market growth, thought leadership and roadmap alignment with go-to-market and product strategies.
• Technical Marketing Support: Collaborate with the marketing team to develop and refine messaging, presentations, and technical content that highlights the business value and differentiated value of Pure Storage solutions for specific target audiences such as researchers, data scientists, systems engineers and infrastructure teams.
• Professional Documentation: Plan, outline, and publish professional technical documents on schedule, ensuring accuracy and clarity and own the document lifecycle of Data Analytics & Engineering solutions at Pure.
• Customer-Focused Solutions: Collaborate with field teams to understand Enterprise customer challenges and deliver practical, impactful solutions.
• Collaborative Teamwork: Work collaboratively within a team and cross-functionally to achieve common goals and drive innovation.
• Effective Communication: Communicate in a clear and concise professional manner, tailored to the appropriate audience; including both verbal and written communications.
• Manage Multiple Priorities: Manage multiple priorities and tasks within a dynamic work environment, ensuring timely and effective delivery of projects.

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

Primary Skills:

• 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: In-depth, holistic knowledge of vendor platforms such as Snowflake, Starburst, Dremio, Apache Spark, Airflow, Redshift, Looker.
• Storage Proficiency: An understanding of block, file, and object storage protocols (e.g., FC, iSCSI, NFS, SMB, S3) and their application in high performance environments.
• Platform Knowledge: Expertise in running analytics applications with on-prem and hybrid-cloud operating platforms (Nutanix, VMWare, OpenShift, Kubernetes), public cloud (AWS, Azure, GCP), and supporting infrastructure technologies.
• Solution Architecture: Real world experience with Data Analytics Solutions preferably in both Vendor and Customer environments, building, designing, validating, troubleshooting and documenting comprehensive solutions that address technical and business needs.
• Technical Marketing Skills: Ability to communicate value in collaboration with marketing teams to create impactful content, presentations, and messaging that highlights technical capabilities