fulltime·NielsenIQ
Senior Director, Data Engineering
Chennai, IndiaEstimated ₹45 - 70 LPA6 skills
This is our market estimate, based on AmbitionBox NielsenIQ Associate Director 22.1-45L and Director Technology 63L-1Cr benchmarks. It is not the employer's disclosed pay.
Skills & Stack
Data engineeringSparkSnowflakeDatabricksCloud architectureLeadership
About the Role
Technology leader owning data engineering strategy and scalable platforms for NielsenIQ Consumer Panel Services in Chennai.
About NielsenIQ
Consumer intelligence and retail analytics company.
What You'll Do
- 1We’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
- 2Define and execute the technology strategy and roadmap for CPS initiatives, ensuring alignment with business goals and client needs
- 3Lead 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
- 4Oversee cloud transformation efforts, optimizing the technology stack to deliver high-margin business outcomes
- 5Manage delivery timelines, mitigate risks, and ensure compliance with industry standards and regulations
- 6Monitor and enhance system performance for efficiency, accuracy, and security, including incident response protocols
- 7Build and maintain strong partnerships with Product, Operations, Data Science, EIT, and Architecture teams, serving as a trusted technology advisor
- 8Ensure robust data governance and compliance, proactively addressing security and privacy risks
What We're Looking For
- Proven experience in building and managing enterprise-grade systems with a focus on data management, processing, and analytics
- Strong leadership and product development capabilities, with a track record of driving measurable outcomes
- Proficiency in Big Data technologies such as Spark, Snowflake, and Databricks
- Hands-on experience with cloud platforms including Azure and AWS
- Familiarity with third-party data providers and deep understanding of consumer-sourced data
- Expertise in Agile methodologies, DevSecOps, and modern software development practices
- Solid understanding of 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
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