Data Engineering Manager

<p>BE PART OF BUILDING THE FUTURE.</p> <p>What do NASA and emerging space companies have in common with COVID vaccine R&amp;D teams or with Roblox and the Metaverse? </p> <p>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. <a href="https://www.purestorage.com/content/dam/purestorage/pdf/PureStorage_FactSheet.pdf.">With 11,000+ customers including 58% of the Fortune 500, we’ve only scratched the surface of our ambitions</a>. </p> <p>Pure is blazing trails and setting records:</p> <ul> <li>For eight straight years, Gartner has named Pure a leader in the Magic Quadrant </li> <li>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</li> <li>Industry analysts and press <a href="https://www.purestorage.com/company/newsroom/awards.html">applaud Pure’s leadership</a> across these dimensions</li> <li>And, our 4,000+ employees are emboldened to make Pure a faster, stronger, smarter company as we go</li> </ul> <p>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.</p><p><strong>Overview / What You’ll Do</strong></p> <p>Pure Storage is looking for an experienced leader to join us as Manager, Data and Analytics in Prague. As a leader of the Data and Analytics organization, this individual will be responsible for leading a team of data engineers to deliver robust master data solutions to improve/optimize Pure business operations and process.  This individual will develop and implement a strategic vision for unifying core master entities  across systems and data sources and is expected to have in-depth knowledge for many of the business-critical knowledge domains.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Establish data as a service, enabling efficient, integrated, end-to-end management &amp; delivery of high-quality data assets across the value chain</li> <li>Collaborate closely with subject matter experts to analyze and interpret data and KPIs; conduct deep dives to identify bottlenecks and growth triggers</li> <li>Assess inefficiencies and existing processes to identify improvement opportunities</li> <li>Recruit, develop, and lead a high performing team of leaders and individual contributors, mentoring and coaching team members to develop their skill</li> <li>Managing and leading a team of data engineers, providing guidance and support to ensure their success.</li> <li>Working closely with the Product Management, Cross functional and internal team leaders to shape the overall data and analytics vision, as well as capability roadmaps for knowledge domains covered by the organization</li> <li>Evaluating and selecting appropriate data technologies and tools to support the organization's data infrastructure.</li> <li>Developing and implementing data governance policies to ensure data quality, security, and compliance.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>9+ years of experience in software development</li> <li>Should have a deep understanding of data engineering concepts, technologies, and best practices. This includes experience with data storage solutions , data processing frameworks, data integration tools, data warehousing, data modeling, and data governance.</li> <li>Should be an effective leader who can inspire and motivate a team of data engineers. They should be able to delegate tasks, provide guidance and feedback, and foster a collaborative work environment.</li> <li>Should have experience managing large-scale data engineering projects. This includes defining project scope, setting timelines, and managing resources to ensure that projects are completed on time and within budget.</li> <li>Should be able to communicate complex technical concepts to both technical and non-technical stakeholders. They should also be able to collaborate effectively with other teams, such as data scientists and business analysts.</li> <li>Should be able to think strategically about how data can be leveraged to drive business outcomes. They should be able to identify opportunities for data-driven insights and work with other teams to develop data-driven solutions.</li> <li>Should be a skilled problem solver who can identify and resolve technical challenges. They should be able to troubleshoot issues and develop creative solutions to complex problems.</li> <li>Should be committed to continuous learning and staying up-to-date with the latest data engineering technologies and best practices</li> </ul><p><strong>BE YOU—CORPORATE CLONES NEED NOT APPLY.</strong></p> <p>Pure is where you ask big questions, think differently,