Description

You will design and architect end-to-end big data solutions, owning the solution roadmap and technical documentation.

Responsibilities

• Design and architect big data solutions covering ingestion, storage, processing, and analytics components.
• Design data integration pipelines to ingest data from databases, warehouses, streaming platforms, and external APIs.
• Architect highly scalable and fault-tolerant big data architectures for high data volumes.
• Guide engineering teams to adopt cloud-native architecture and define Kubernetes productivity strategies.
• Articulate design tradeoffs and technology choices to executive leadership.

Required Skills

• Deep understanding of Flink is a must.
• Hands-on expertise with recent versions of Java is a must.
• 5+ years hands-on experience designing resilient and performant systems.
• Experience with server-side programming languages.
• Good understanding and application of EAI patterns.
• Experience in the full Software Development Lifecycle and Agile methodology.
• Experience with Kafka and Kafka Streams.
• Familiarity with Data Architecture, Platform Architecture, and Information Security.
• Bachelor's degree in computer science, Engineering, or related field or 10+ years of experience in IT.

Key Skills

Education

Bachelor's degree