Pure is fundamentally reshaping the data storage industry and is seeking a Solutions Architect specializing in Data Analytics to define and drive innovative solutions that support strategic growth and go-to-market initiatives with Enterprise customers globally.
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.
- In-depth, holistic knowledge of vendor platforms such as Snowflake, Starburst, Dremio, Apache Spark, Airflow, Redshift, Looker.
- An understanding of block, file, and object storage protocols (e.g., FC, iSCSI, NFS, SMB, S3) and their application in high performance environments.
- 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.
- 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.
- Ability to communicate value in collaboration with marketing teams to create impactful content, presentations, and messaging that highlights technical capabilities and customer value for Pure’s target audience of buyers, influencers and decisionmakers.
- In Depth knowledge of the I/O protocols, pathways and tuning practices to derive the greatest performance in both real world environments and across standardized performance benchmarking tools and extracting the most efficient performance in real world applications.
Responsibilities
- 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 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.
- Showcase Data Analytics solutions with Pure’s technologies in lab environments for use in field and partner enablement, customer POCs and Demos.
- Present solutions to customers, partners, and internal teams, translating technical details into business value and actionable insights.
- 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.
- 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.
- Collaborate with field teams to understand Enterprise customer challenges and deliver practical, impactful solutions.
Other
- 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.
- Work collaboratively within a team and cross-functionally to achieve common goals and drive innovation.
- Communicate in a clear and concise professional manner, tailored to the appropriate audience; including both verbal and written communications.
- Manage multiple priorities and tasks within a dynamic work environment, ensuring timely and effective delivery of projects.
- Minimum of 8 years of experience in database architecture, Data Analytics solutions, and related technologies.
