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Well-known product company, metro location and senior role but specialized data platform skills yield moderate competition.
Role requires deep distributed data platform experience, making cross-industry transfers difficult without similar background.
Explicit 12+ years and 5+ years distributed systems experience plus required cloud, languages, and container skills indicate high strictness.
Lead design and development of the Data Fabric platform, focusing on scalable, reliable, and secure distributed data infrastructure.
Architect and optimize large-scale data systems for ingestion, storage, processing, and querying with an emphasis on performance and high availability.
Provide technical leadership by mentoring senior engineers, establishing best practices, and owning software deliverables to meet quality, security, scalability, and extensibility standards.
12+ years of software engineering experience, including 5+ years with distributed data systems.
Bachelor’s or master’s degree in engineering, Computer Science, or equivalent experience.
Proficiency in system-level programming languages such as C# or Java, and strong understanding of object-oriented design, system architecture, and data structures.
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and modern engineering practices including CI/CD and DevOps.
Experienced technical leader with a proven record of mentoring and driving complex technical decisions in globally distributed teams.
Strong background in large-scale distributed systems design and optimization, with hands-on architecture ownership.
Comfortable collaborating cross-functionally and integrating emerging technologies (e.g., Apache Kafka, Spark, Kubernetes) to innovate data infrastructure solutions.