9 дней назад
Data Platform Architect (with GCP) - Automation & Innovation Department
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Platform Architect (with GCP) - Automation & Innovation Department (GCP/hybrid data platforms): Designing scalable analytics and data platforms across on-premise environments and cloud services with an accent on GCP, Spark, Kubernetes, and data governance. Focus on defining architecture standards, integrating hybrid systems, and guiding migration, modernization, performance tuning, and platform optimization.
Location: Warsaw, ul. Marynarska 12, Poland; hybrid working mode.
Company
's Automation & Innovation Department builds AI, automation, and data analytics solutions across network operations, sales, customer care, and internal initiatives.
What you will do
- Define architectural standards and blueprints for hybrid cloud and on-premise data platforms.
- Set best practices for scalability, reliability, maintainability, compliance, and technology selection.
- Lead the design and integration of Spark-based analytics, Kubernetes workloads, and GCP services.
- Document data architecture, integration patterns, workflows, and system designs for technical audiences.
- Guide engineering and business teams through migration, modernization, optimization, troubleshooting, and performance tuning.
Requirements
- At least 5 years of experience in data platform architecture or engineering.
- Deep knowledge of GCP, including BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Strong experience with Spark, Kubernetes, data warehouses, and big data platforms.
- Proven leadership in hybrid cloud and on-premise integration projects.
- Strong technical documentation, system design, and stakeholder management skills.
- Experience with cloud-native migrations, hybrid architectures, data governance, and advanced analytics frameworks.
Culture & Benefits
- B2B contract.
- Fast and flexible environment with a startup-like mindset.
- Opportunities to work with AI, GenAI, RPA, BPA, data analytics, and ML models.
- Projects use GCP, AWS, Kubernetes, BigQuery data lake and warehouse solutions, ETL/ELT orchestration, data quality, and security practices.
- Work spans customer-facing and internal solutions, including conversational assistants, knowledge search tools, employee development applications, and proactive customer communication systems.
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