Senior Director, Data Engineering

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. 

What you’ll achieve: 

As a Senior Director, you will define enterprise data engineering strategy and governance to deliver high-quality, trusted data products at scale. You will set platform roadmaps for batch and streaming pipelines, storage, cataloging, and orchestration across hybrid cloud. You will build a culture of reliability and performance, ensuring security, cost efficiency, and measurable business outcomes. 

Join us to do the best work of your career and make a profound social impact as a Senior Director on our Data Engineering team. 

You will: 

• Own the vision and standards for data platforms, pipelines, and productization across domains. 
• Establish governance for metadata, lineage, quality SLAs, and data contracts. 
• Drive portfolio planning, budgets, and vendor/partner strategy for cloud and on-prem ecosystems. 
• Mentor senior leaders and foster an inclusive, high-performance engineering culture. 

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: 

Essential Requirements 

• 18+ years of related experience in a professional role with 10+ years in leadership 
• Proven track record leading multi-region data platform transformations and operating at executive stakeholder levels. 
• Expertise across distributed processing (Spark/Flink), orchestration (Airflow/Dagster), and cloud data services (AWS/Azure/GCP). 
• Experience implementing data mesh or product-oriented data architectures with strong governance. 
• Executive communication and influence; ability to translate strategy into measurable outcomes. 

Desirable Requirements 

• Master’s degree in Computer Science, Data Engineering, or related field. 
• Industry certifications (e.g., cloud data engineering) and experience with FinOps for data workloads.