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Senior Big Data Architect Remote in Czechia
Senior Big Data Architect leading enterprise data platforms for banking clients using Cloudera, Kafka, and AWS. The role covers streaming, integration, governance, and architecture standards.
Сипаттама
- Own end-to-end architecture for large-scale distributed data, streaming, and integration solutions
- Lead architecture for distributed data, integration, and platform solutions
- Provide architectural direction, governance, design assurance, and technical leadership across initiatives
- Evolve target architecture in line with enterprise technology strategy, engineering standards, and long-term platform goals
- Lead architecture for the Enterprise Data Lake, Operational Datastore, and related services in Cloudera CDP on AWS
- Design and document scalable distributed data and streaming solutions across Cloudera, Kafka, APIs, and cloud platforms
- Define patterns for data ingestion, processing, storage, and consumption
- Provide architectural oversight throughout solution delivery
- Partner with engineering teams to ensure solutions are deliverable, scalable, secure, supportable, and aligned with enterprise principles
- Review technical designs created by engineering teams
- Assess technical risks, dependencies, assumptions, non-functional requirements, and design trade-offs
- Support delivery planning by dividing solutions into incremental releases and sprint outcomes
- Present solution designs to architecture review boards and governance forums
- Collaborate with business stakeholders, delivery teams, and enterprise architects
- Develop and promote architectural patterns, engineering standards, and best practices across the data platform ecosystem
Талаптар
- Bring at least 10 years of IT experience, including substantial work delivering data platforms, integrations, or distributed systems
- Demonstrate experience architecting streaming or real-time data applications with Kafka or comparable event-streaming technology
- Understand Kafka consumer architecture, including consumer groups, offsets, retries, dead-letter handling, ordering, partitioning, and scalability
- Have designed solutions on Cloudera CDH/CDP or comparable enterprise-scale distributed data platforms
- Have designed and delivered large-scale patterns for data ingestion, transformation, storage, and consumption
- Understand both batch and real-time data processing architectures
- Have worked in complex enterprise environments involving multiple systems, vendors, platforms, and governance processes
- Understand non-functional concerns such as performance, scalability, resilience, security, observability, and operational support
- Have provided architectural leadership across multiple workstreams, programs, or delivery teams
- Have mentored architects, senior engineers, or technical leads and influenced technical decisions
- Bring expertise in distributed data platforms and data lake architecture on Cloudera CDH/CDP or equivalent technologies
- Bring expertise in event streaming and real-time integration, including Kafka and related messaging patterns
- Know large-scale processing and transformation frameworks such as Spark, Flink, Hive, Impala, or equivalent technologies
- Have experience with Java, Spring Boot, and REST services
- Know NoSQL and distributed storage technologies such as HBase, Cassandra, or equivalent platforms
- Have experience with cloud services, preferably AWS
- Understand DevOps, CI/CD, observability, and resilience
Артықшылықтар
- Long-term contract with a remote-first working model
- Remote opportunity for candidates in the EU
- Contract runs through December 2026, with a possible extension into 2027
Ұқсас жұмыс орындары
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