BE PART OF BUILDING THE FUTURE.

What do NASA and emerging space companies have in common with COVID vaccine R&D teams or with Roblox and the Metaverse? 

The answer is data, -- all fast moving, fast growing industries rely on data for a competitive edge in their industries. And the most advanced companies are realizing the full data advantage by partnering with Pure Storage. Pure’s vision is to redefine the storage experience and empower innovators by simplifying how people consume and interact with data. With 11,000+ customers including 58% of the Fortune 500, we’ve only scratched the surface of our ambitions. 

Pure is blazing trails and setting records:

• For ten straight years, Gartner has named Pure a leader in the Magic Quadrant 
• Our customer-first culture and unwavering commitment to innovation have earned us a certified Net Promoter Score in the top 1% of B2B companies globally
• Industry analysts and press applaud Pure’s leadership across these dimensions
• And, our 5,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go
  
  

If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark.

You will be responsible for design, development and expansion of data assets that support business intelligence, advanced analytics, and reporting. You will also develop, maintain, and support the enterprise data warehouse system, corresponding data marts, and data interfaces for use in reporting, analytics, and various applications. Deep experience building data management Data savviness and a keen understanding of data management life cycle is critical for this role. Crisp communication and the ability to influence decisions is also important. Program Management capabilities will be needed to successfully deliver in this role.  

• Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources into Snowflake. Build and maintain the data transformation layer for consumption by stakeholders.
• Keep our data secure while building data products to derive business insights from the data.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Team Lead responsible for the quality and on-time delivery of the development milestones.
• Responsible for coaching other members of the team on their deliveries.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Communication with internal team members and stakeholders in other time zones for requirements clarification and progress reporting.

• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and familiarity with various databases.

• 3-5 years of managerial experience leading an D&A/engineering team

• Experience building and optimizing big data pipelines, architectures, and data sets.

• Extracting data from various sources, such as databases, log files, and APIs.

• Transforming data from its raw form into a structured format suitable for analysis.

• Loading data into a data warehouse or other data store for use by analysts and data scientists.

• Building and maintaining data pipelines using tools such as SQL, Python, etc.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• A successful history of manipulating, processing, and extracting value from large disconnected datasets.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Ensuring the quality and accuracy of data throughout the pipeline.

• Optimizing data pipelines for performance and scalability.

• Troubleshooting and debugging issues with data pipelines.

• Documenting processes and workflows related to data engineering.

• Experience with big data tools: Snowflake, Spark, etc.

• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

• Experience with AWS cloud services: Aurora, Redshift.

• Experience with stream-processing systems: Storm, Spark-Streaming, Kafka etc.

Pure is where you ask big questions, think differently, and make an impact. This is not just a job, but a place where you have a voice and can accelerate your career. We value unique thoughts and celebrate individuality, and with ample opportunity to learn, develop yourself, and expand into different roles, joining Pure is an investment in your career journey.

Through our Pure Equality program, which supports a flourishing field of employee resource groups, we nourish the personal and professional lives of our team members. And our Pure Good Foundation gives back to local and global communities through volunteering and grants.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.

PURE IS COMMITTED TO EQUALITY.