Senior Big Data Architect

Job not on LinkedIn

🔥 2 minutes ago

🇨🇿 Czechia – Remote

💵 €38 - €43 / hour

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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Jimmy Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🚘 Automotive

Consulting • Logistics • Automotive

Jimmy Technologies is a company specializing in providing technology solutions and innovations for the mobility industry. They focus on automotive, mobility, and fintech sectors, utilizing high-skilled development teams and proven business strategies to ensure innovative outcomes and rapid market entry. Their services include end-to-end product realization, cloud services, and technical consulting, emphasizing value-centric and outcome-driven approaches. With the implementation of their Jimmy Framework and Components, they enable cost-cutting and faster product launches, offering tailored solutions from pre-built modules developed in-house. By collaborating with clients from the initial idea to product launch, Jimmy Technologies aims to boost business efficiency and achieve significant revenue gains.

📋 Description

• Own the end-to-end solution architecture for large-scale distributed data, streaming, and data integration solutions • Act as the lead architect for Data Solutions distributed data, integration and platforms • Provide architectural direction, governance, design assurance and technical leadership across initiatives • Shape the evolution of target architecture and ensure alignment with enterprise technology strategy, engineering standards and long-term platform objectives • Lead solution architecture across the Enterprise Data Lake, Operational Datastore and associated data platform services within the Cloudera CDP environment on AWS • Design and document scalable distributed data and streaming solutions across Cloudera, Kafka, API, and cloud platforms • Define ingestion, processing, storage, and consumption patterns • Provide architectural oversight across solution delivery • Work with engineering teams to ensure solutions are deliverable, scalable, secure, supportable, and aligned to enterprise architecture principles • Review technical designs produced by engineering teams • Identify technical risks, dependencies, assumptions, non-functional requirements, and design trade-offs • Support delivery planning by breaking solutions into iterative delivery increments and sprint-level outcomes • Represent solution designs at architecture review boards and governance forums • Engage with business stakeholders, delivery teams, and enterprise architects • Develop and promote architectural patterns, engineering standards and best practices across the data platform ecosystem

🎯 Requirements

• 10+ years’ overall IT experience, with significant experience in data platform, integration, or distributed systems delivery • Proven experience architecting streaming or real-time data applications using Kafka or equivalent event-streaming technologies • Experience with Kafka consumer architecture, including consumer groups, offsets, retries, dead-letter handling, ordering, partitioning, and scalability • Proven experience designing solutions on Cloudera CDH/CDP, or substantial experience with equivalent enterprise-scale distributed data platforms • Experience designing and delivering large-scale data ingestion, transformation, storage, and consumption patterns • Strong understanding of batch and real-time data processing architectures • Experience working in complex enterprise environments with multiple systems, vendors, platforms, and governance processes • Strong understanding of non-functional requirements including performance, scalability, resilience, security, observability, and operational support • Experience providing architectural leadership across multiple workstreams, programs, or delivery teams • Experience mentoring architects, senior engineers or technical leads and influencing technical decision-making • Distributed data platforms and data lake architecture on Cloudera CDH/CDP or equivalent platforms • Event streaming and real-time integration technologies, including Kafka and related messaging patterns • Large-scale data processing and transformation frameworks such as Spark, Flink, Hive, Impala or equivalent technologies • Java, Spring Boot, and REST services • NoSQL and distributed data storage technologies including HBase, Cassandra, or equivalent platforms • Cloud services, preferably AWS • DevOps, CI/CD, observability, resilience

🏖️ Benefits

• Long-term remote-first contract position • Remote in EU • Contract through December 2026, with extension to 2027