
Chief Data Architect
12 hours ago
About Warner Bros. Discovery:
Warner Bros. Discovery is a global media and entertainment company that offers audiences the world's most differentiated and complete portfolio of content, brands, and franchises across television, film, streaming, and gaming.
The company combines Warner Media's premium entertainment, sports, and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
Role Overview:
We are seeking an experienced Senior Engineering Manager to lead our data platform efforts and drive technical strategy for how we can better equip engineers and leaders with Data Platform.
You will build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
Responsibilities:
Develop streaming and batch analytics & pipelines to build impactful data products around a semantic layer.
Create tools and frameworks that enhance data processing, information retrieval, governance, and data quality in a cost-effective and user-friendly manner.
Promote a culture of experimentation and data-driven innovation. Inspire and motivate through internal and external presentations and other speaking opportunities.
Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
Collaborate closely with other engineers to design and build an optimal and cost-efficient platform solution.
Work in partnership with other engineers and managers to design and develop foundational elements of the platform.
Assist in hiring, mentoring, and coaching engineers. Help build an engineering team that prioritizes empathy, diversity, and inclusion.
Requirements:
Bachelor's degree in computer science or similar discipline.
12+ years of commendable track record of delivering complex software engineering systems and distributed platforms using open source technologies.
12+ years of experience and proficiency in building and managing real-time data processing pipelines with streaming platforms like Apache Kafka, AWS Kinesis, or Google Pub/Sub.
10+ years of strong foundation in distributed data processing concepts, event-driven architectures, understanding of batch and stream processing technologies and building streaming and batch pipelines.
12+ years of programming experience with proficiency in Java, C, C++ or similar languages.
8+ years of experience in a wide variety of distributed systems and technologies – such as Apache Flink, Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake.
10+ years of Cloud (AWS preferred) experience.
10+ years of experience with containerization (Docker) and orchestration tools (Kubernetes), Prometheus, Grafana, Kibana, Elasticsearch, Cassandra, DynamoDB.
10+ years of experience to design scalable and resilient streaming applications with microservices architecture.
Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science.
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