Senior Manager/Director – Big Data Performance Engineering (Scala/Spark)

Job Description

At Publicis Sapient, we help the world’s leading organizations transform through technology, data, and AI. We are looking for a Senior Manager/Director of Big Data Performance Engineering to lead performance initiatives across large‑scale data platforms and mission‑critical applications.

This role sits at the intersection of deep technical expertise, client engagement, and delivery leadership. You will own performance engineering end‑to‑end — from diagnostics and solution design to execution, metrics, and executive‑level reporting — while working hands‑on with distributed systems and leading teams across geographies.

Qualifications

Your Skills and Experience

• Experience working with high‑throughput systems (100–1000+ TPS)
• Strong expertise in Apache Spark, Scala, and batch and streaming ETL pipelines
• Proficiency in stream processing and real‑time data systems
• Solid understanding of performance engineering principles in distributed environments
• Hands‑on experience with debugging, profiling, and system‑level troubleshooting
• Experience working with AWS platforms and services
• Strong communication skills, with the ability to clearly explain complex technical problems and solutions to both technical and non‑technical audience
  
  

Leadership Expectations

• Capable of leading and mentoring a highly skilled team (4–6 engineers) distributed across the US and India
• Operates with a high degree of autonomy and minimal oversight
• Self‑driven, outcome‑focused, and accountable for delivering measurable results
• Takes full ownership of initiatives from inception through execution and impact
  
  

Set Yourself Apart With

• Exposure to integrating Large Language Models (LLMs) (OpenAI, Azure OpenAI, or similar) into business and engineering workflows

Familiarity with Copilot‑style interfaces and AI‑assisted developer or analyst experiences

Understanding of prompt engineering, embeddings, and Retrieval‑Augmented Generation (RAG) architectures and how they interact with data platforms

Contract modality: This position is open either for a Permanent or a Contractor modality in Colombia, Costa Rica, Mexico, Brazil, Peru and Argentina.

Additional Information

Why Publicis Sapient

• Work on enterprise‑scale data platforms for some of the world’s most recognized brands
• Influence critical performance decisions that directly impact reliability, scalability, and business outcomes
• Combine hands‑on technical leadership with client‑facing strategic impact
• Be part of a culture that values engineering excellence, ownership, and continuous improvement
• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.
  
  

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology

, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.