NielsenIQ: Senior Director, Data Engineering — Chennai, TN, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Senior Director, Data Engineering in Chennai, TN, India, under reference R26_0013925|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 20 October 2026
• Brands: NielsenIQ
• Job Family: Software Engineering

Responsibilities and work described

• Summary
• We’re seeking a visionary technology leader to drive innovation and scale in our Consumer Panel Services
• This role blends strategic leadership, technical excellence, and global collaboration to deliver impactful solutions that shape consumer insights across industries
• Define and execute the technology strategy and roadmap for CPS initiatives, ensuring alignment with business goals and client needs
• Leadership: the development and deployment of scalable, high-performance solutions for customer input management, including shopper data integration, panel expansion, analytics platforms, data processing, calibration, and cross-platform integration
• Oversee cloud transformation efforts, optimizing the technology stack to deliver high-margin business outcomes
• Management: delivery timelines, mitigate risks, and ensure compliance with industry standards and regulations
• Monitoring: and enhance system performance for efficiency, accuracy, and security, including incident response protocols
• Building: and maintain partnerships with Product, Operations, Data Science, EIT, and Architecture teams, serving as a trusted technology advisor
• Quality / delivery: robust data governance and compliance, proactively addressing security and privacy risks
• Delivery: mentorship and leadership to the technology team, fostering a culture of innovation, collaboration, and continuous growth

Essential requirements and candidate background

• Experience: building and managing enterprise-grade systems with a focus on data management, processing, and analytics
• Leadership and product development capabilities, with a track record of driving measurable outcomes
• Proficiency: Big-data tools: such as Spark, Snowflake, and Databricks
• Experience: cloud platforms including Azure and AWS
• Familiarity: third-party data providers and deep understanding of consumer-sourced data
• Expertise in Agile methodologies, DevSecOps, and modern software development practices
• Understanding: data security and compliance, with experience implementing safeguards in data-intensive environments
• Bachelor’s or Master’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related technical field
• 15+ years of experience in data and software engineering, architecture, and design
• Background in distributed computing and cloud-native technologies
• Experience leading SAFe Agile and DevSecOps adoption
• Demonstrated success in cross-functional collaboration with Operations, Data Science, and Product teams
• Ability to train and upskill engineering teams in emerging technologies
• Analytical and problem-solving skills, with a data-driven approach to decision-making

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Chennai, TN, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations
• If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative
• For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Director, Data Engineering vacancy is not an offer for reference R26_0013925|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0013925|IN.

Compare your qualifications and experience with the essential conditions for the Chennai, TN, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• Spark
• AWS
• Azure
• compliance
• partnership development
• incident response