At a Glance
- Tasks: Empower enterprise clients by designing and implementing data platform solutions.
- Company: Join Cloudera, a leader in data and AI innovation.
- Benefits: Enjoy generous PTO, flexible work options, and wellness programs.
- Other info: Collaborative environment with opportunities for career development.
- Why this job: Shape the future of data and AI while driving customer success.
- Qualifications: Experience in data platforms and strong presentation skills required.
The predicted salary is between 63000 - 77000 £ per year.
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
Senior Field Specialist - Data Platform employer: Cloudera
Cloudera is an exceptional employer that prioritises employee growth and well-being, offering a flexible work-from-home policy and generous PTO to support work-life balance. With a strong focus on innovation in data and AI, employees are empowered to shape the future while engaging in meaningful projects that drive customer success. The collaborative work culture fosters continuous learning and development, making it an ideal environment for professionals looking to advance their careers in a dynamic field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Field Specialist - Data Platform
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We think you need these skills to ace Senior Field Specialist - Data Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cloudera. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cloudera!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
