Cloudera

Senior Field Specialist - Data Platform

Cloudera  •  United Kingdom of Great Britain and Northern Ireland (Remote)  •  5 hours ago
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Job Description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Are you passionate about making data and AI use cases accessible for enterprise clients? Cloudera is seeking a customer-facing, hands-on Senior Field Specialist - Data Platform to join our team in the UK. In this pivotal role, you'll leverage your deep technical expertise to empower our customers, influence product direction, and drive success across our most impactful use cases. If you thrive on creative freedom and shaping the future of data and AI, we encourage you to apply.

What You'll Bring (Qualifications)

  • Proven experience leading and implementing mission-critical data use cases in industries such as Financial Services, Retail, Healthcare, Public Sector etc.

  • Proven experience in designing, building, and deploying enterprise-grade platforms using technologies such as kubernetes, on premises object stores and distributed systems.

  • Hands-on expertise with leading platform technologies like kubernetes, Red Hat OpenShift, Openstack, Ceph, Apache Ozone etc.

  • Strong background in architecting production data platform deployments, considering infrastructure, security, and networking in complex enterprise environments.

  • Demonstrated ability to run Proofs of Concept (PoCs) and MVPs that lead to successful production deployments.

  • Practical experience in designing and implementing data intensive use cases at an enterprise level, including security and governance challenges.

  • Exceptional presentation skills, comfortable engaging with diverse audiences from engineers to senior executives.

  • Ability to analyse customer workloads and define technical migration roadmaps tailored to their specific needs.

As a Field Specialist - Data Platform, You Will

  • Lead customer engagements by designing and presenting data platform solution architectures and business outcomes to technical and executive stakeholders.

  • Provide deep platform expertise throughout the sales cycle, supporting PoCs, solution sizing, and adoption for new and existing customers (especially EMEA-specific use cases and scenarios).

  • Troubleshoot and resolve complex technical issues, providing guidance and leading escalations to ensure customer success.

  • Drive internal and external technical enablement by exploring new technologies, developing educational materials, and sharing best practices.

  • Influence product roadmap by translating customer feedback and EMEA-specific requirements into actionable insights for our product and engineering teams.

  • Act as a Cloudera evangelist, participating in community activities, speaking at events, and contributing to knowledge sharing.

  • Collaborate effectively with cross-functional teams (Sales, Product, Engineering) to align on customer success and product vision.

You'll Be Well-Positioned for Success If You Bring (Bonus Qualifications):

  • Prior experience in pre-sales or technical consulting roles with a strong focus on big data & AI platform solutions.

  • Direct experience with deployment of Red Hat OpenStack platform and kubernetes (Red Hat OpenShift) and advising customers/partners integration on technical solutions

  • Experience with automation technologies, especially Red Hat Ansible Automation

  • Experience with, and interest in, open-source software and development practices

  • Familiarity with Cloudera's AI and data platform components (e.g., Cloudera AI/CML, CDP Data Services, SDX).

  • Relevant technical platform certifications (e.g. CKA).

  • Working knowledge of the open-source data and AI ecosystem (e.g., Apache Spark, Airflow, Impala).

  • Exposure to GPU-accelerated computing for deep learning and generative AI applications.

  • This role is not eligible for immigration sponsorship

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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Cloudera

About Cloudera

Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.

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Recruitment Fraud Alert

It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.

Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.

If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
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