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Why Hiring More Data Engineers Won’t Solve Your Delivery Problem

تكنولوجيا
Forbes
2026/05/15 - 10:45 506 مشاهدة
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InnovationWhy Hiring More Data Engineers Won’t Solve Your Delivery ProblemByPrashanthi Kolluru,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 15, 2026, 06:45am EDTPrashanthi Kolluru is the founder of KloudPortal. Helping global capability centers (GCCs) hire product-ready engineering teams. gettyAt KloudPortal, we partner with global capability centers (GCCs) and technology enterprises to own and deliver their data engineering projects. In our experience working with our client partners, we have observed this common trend across the IT services and consulting industry: When data delivery slows down, many organizations often resort to a familiar solution: hiring more data engineers. The assumption is simple: More people will accelerate the output.In today's environment, that assumption is increasingly misguided. As data platforms evolve to support real-time decision-making, AI-driven applications and operational analytics, delivery challenges are rarely caused by a lack of talent. More often, they arise from fragmented systems, unclear ownership and inefficient operating models. Adding more engineers in such an environment does not solve the problem; it often amplifies it. ​The Misdiagnosis Of A Capacity Problem Backlogs, delayed dashboards and unreliable pipelines are often interpreted as signs of insufficient capacity. Leadership sees growing demand from business intelligence to AI workloads and assumes the team cannot keep up. But what appears to be a capacity issue is often a coordination problem.As teams grow, complexity compounds. More engineers introduce additional dependencies, longer review cycles and inconsistent development patterns. Without strong standards and platform foundations, each new hire increases operational overhead rather than delivery speed. In many cases, teams spend more time managing...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: data engineers, delivery problem, hiring.

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