Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. We are seeking a visionary and results-driven Director of Engineering to lead our high-impact engineering organization at Gracenote. In this role, you will be responsible for defining technical strategy, building scalable architectures, driving platform modernization, and leading multi-disciplinary engineering teams (including Engineering Managers and technical leads). You will lead the evolution of next-generation metadata processing pipelines, integrating modern data platforms, automated web crawling, content curation, real-time metadata serving, and AI/Machine Learning solutions. You will collaborate closely with Product, Data Science, and Global Business leadership.
Responsibilities
Drive long-term technical vision and architectural direction for Gracenote's core metadata, ingestion, and serving platforms; Lead initiatives to platformize metadata processing pipelines, transitioning legacy flows into modern, intelligent, high-performance distributed architectures; Partner with Data Science and AI teams to integrate machine learning, NLP, computer vision, and GenAI capabilities into core operational processes, content ingestion, and data enrichment pipelines; Lead, mentor, and build an engineering organization of Engineering Managers, Architects, and Software Engineers; Foster an inclusive culture based on Nielsen values, promoting innovation, continuous learning, technical rigor, and high associate retention; Oversee succession planning, performance management, career growth frameworks, and talent pipelines (including university relations and new joiner programs); Partner directly with Product Management, Data Science, and cross-functional executives to align engineering deliverables with key business metrics and strategic revenue drivers; Coordinate across local and global stakeholders to ensure seamless integration, high productivity, and successful delivery of high-visibility projects; Ensure overall system health by defining Non-Functional Requirements (NFRs), focusing on high availability, fault tolerance, low latency, recoverability, and scalability across global delivery APIs; Drive agile methodologies and apply an automation-first mindset to software delivery, CI/CD, testing automation, and operational monitoring; Establish robust quality assurance standards, operational cadences, and continuous process optimization across the Product Development LifecycleRequirements
Bachelor's or Master's degree (or equivalent experience) in Computer Science, Engineering, Information Technology, or a related technical field; 13+ years of total software development and engineering experience, with a proven track record of designing scalable, high-performance systems; 5+ years of direct management experience, including managing managers, technical leads, and multi-disciplinary global engineering teams; Deep expertise in object-oriented and functional programming languages (e.g., Golang, Java, Python, Scala); Proven experience designing highly available, fault-tolerant distributed systems and microservices; Hands-on experience with modern data architectures: real-time streaming architectures (e.g., Kafka), batch data processing (e.g., Spark, Flink), and RESTful/GraphQL API serving; Proficiency with relational databases (PostgreSQL, MySQL), NoSQL platforms (MongoDB, Cassandra), caching layers (Redis, Memcached), and search engines (Elasticsearch, OpenSearch); Solid expertise in cloud-native deployment environments (AWS, Azure, or GCP) and cloud ecosystemsHow to apply
Apply online: https://www.jobs.pl/en/oferta/101490986/aplikuj
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