Engineering Manager / Staff Engineer

We are seeking an experienced and hands-on Engineering Manager to join our data team at Nielsen. This role will be crucial in providing a range of services and expertise to all business verticals within Gracenote, a Nielsen company. The successful candidate will collaborate with various team leaders, including Data Engineers, DBAs, DevOps Engineers, Security professionals, and Data Science team members.

Key Responsibilities:

1. Architect, build, and deploy data platform & related solutions for entertainment metadata pipelines.
2. Set high technical standards and guide the team to achieve technical excellence.
3. Mentor, coach, and grow team members through thoughtful career planning.
4. Manage and improve SDLC and team processes.
5. Build scalable, resilient, and cost-effective software and teams for complex data pipelines and products.
6. Collaborate with Data Science to integrate methodologies into engineering build pipelines.
7. Partner with product owners to translate business requirements into technical solutions.
8. Stay informed about the latest technologies and methodologies.
9. Foster a team environment focused on continuous learning and innovation.

Qualifications:

• Bachelor's degree in Computer Science, IT, Engineering, Mathematics, or related field.
• 8+ years of progressive experience in software development.
• 5+ years of Software Engineering experience with Java/Kotlin, Scala, Python, and Unix shell.
• Strong understanding of big data tools like Kafka, Apache Spark, and Trino/Presto.
• Experience in leading teams that have designed and shipped high-impact, data-intensive SaaS or enterprise software.
• Expertise in code structure, testing, and engineering methodology.
• Experience in developing high-level architecture designs based on business requirements.
• Proficiency with orchestration tools like Airflow, API development, Docker, Kubernetes, and monitoring tools such as Datadog, Prometheus, Grafana, and Cloudwatch.

This role offers an exciting opportunity to work with marquee customers like Amazon, Comcast, Google, Samsung, LG, and Sony, while leading a team at the forefront of data engineering and analytics in the entertainment industry.