Principal Software Engineer-Leading Emergent Engineering Taskforce at Cloudera

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spark, Kafka, Iceberg, HDFS, Hive, YARN, Flink, Python, Scala, Rust, Kubernetes, Cloud-Native Orchestration, Distributed Systems, Design Documents, Technical Leadership

Industry

Software Development

Description

Business Area: Engineering Seniority Level: Director Job Description: 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. The Leading Emergent Engineering Taskforce (LEET) is a new, agile operational unit designed to execute on Cloudera’s most critical strategic initiatives. Operating as an "empowered pod," we bridge the gap between abstract requirements and real-world execution, tackling both complex customer integrations and high-impact internal engineering projects. We move with the velocity of a startup while leveraging the massive scale of the Cloudera Data Platform. As a Staff Software Engineer, you will serve as the Technical Anchor for the taskforce, partnering directly with a hands-on Manager. While the Manager sets the strategic direction, you will own the resolution of critical issues and broad design matters. You will tackle unusually complex projects and evaluate intangible factors to define the architectural design of the distributed systems we build. You are the primary guardian of technical excellence for the pod, ensuring our strategic prototypes are scalable, resilient, and aligned with Cloudera’s global standards. As the Staff Software Engineer you will: Lead Architectural Design: Independently drive the technical design of massive-scale distributed systems using Java, Spark, Kafka, Iceberg, and more. You will act as a primary lead in design to determine the best technical approach to solve high-friction problems. Bridge the Gap: Engage with internal and external stakeholders to diagnose the root cause of friction. You will translate ambiguous business requirements into concrete engineering tasks and architectural blueprints for the team. Drive Technical Excellence: Mentor the team’s Senior and Full-Stack engineers. You are their technical authority—conducting code reviews, enforcing DevSecOps practices, and ensuring that our solutions are "production-ready." Solve the "Unusually Complex": Tackle the most difficult technical challenges where standard documentation fails, applying advanced principles to debug complex interactions between Hadoop components and modern Cloud-Native architectures. Influence the Product Roadmap: Synthesise technical insights gained from our strategic initiatives and feed them back to Cloudera’s core Global Engineering teams to influence the future architecture of the CDP platform. We’re excited about you if you have: Experience: 10+ years of software engineering experience with a focus on building distributed systems and data platforms. Core Tech Mastery: Deep, hands-on expertise with big data ecosystems (HDFS, Hive, YARN) and modern compute engines (Spark, Flink, Kafka). Distributed Systems Depth: A deep understanding of technical architecture, including concurrency, multithreading, and distributed consistency challenges. Language Proficiency: Expert-level fluency in Java is a minimum requirement. Proficiency in Python, Scala and Rust is a plus. Strategic Design Leadership: Proven ability to author complex design documents and act as the primary lead in design discussions. You have a track record of designing solutions from the ground up that solve unusually complex problems where standard documentation does not exist. Cloud-Native Fluency: Familiarity with Kubernetes and Cloud-Native orchestration. A "Learning Mindset": The ability to learn new technologies on the fly in a continuous learning environment. You may also have: Experience with Apache Iceberg and Lakehouse architectures. Familiarity with the Cloudera technologies. Background in high-end technical consulting, where you had to drive change in the face of ambiguity. 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 EEO/VEVRAA #LI-AO1 #LI-HYBRID #LI-REMOTE 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. For information on Cloudera's Candidate Privacy Notice, click here. If you have any questions about our privacy practices, please contact us at privacy@cloudera.com. EEO/VEVRAA If you need assistance with applying for a position, please email our office at talentacquisition@cloudera.com.

Responsibilities

The role involves leading the architectural design of massive-scale distributed systems using core big data technologies and acting as the technical anchor for an emergent engineering taskforce. This engineer will also mentor team members, enforce technical excellence, and translate ambiguous business requirements into concrete engineering blueprints.