Senior Data Architect @ Experis Polska

6 days ago


Wrocław, Czech Republic Experis Polska Full time

Proven experience as a Data Architect on complex, enterprise-level implementations. Deep expertise in Azure Data Services, Databricks, and the broader cloud ecosystem. Strong proficiency in SQL, Python, and PySpark, particularly for data engineering and architectural validation. Knowledge of Kafka or other streaming platforms. Hands-on experience with CI/CD pipelines, Azure DevOps, and infrastructure automation. Solid understanding of data governance, cloud security best practices, and GDPR compliance. Excellent communication skills and experience collaborating with technical and business stakeholders. Ability to produce architectural diagrams, wireframes, and comprehensive documentation. Senior Data Architect (Hybrid – Wrocław, 2 days/week onsite) We are looking for an experienced Senior Data Architect to join our BI & Analytics team operating in the Parts Sales domain. The role involves close collaboration with business stakeholders and translating their requirements into scalable, high-quality technical solutions. Work model Hybrid from Wrocław – 2 days per week onsite. Compensation Hourly rate: 180 – 214 PLN B2B Benefits Medicover healthcare package Multisport card Access to an e-learning platform Group life insurance Opis Firmy Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT. Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie. ,[Lead architectural design for large-scale data initiatives in a cloud environment. , Develop and oversee data models across relational, dimensional, NoSQL, and GraphDB structures. , Ensure seamless integration of AI/ML components into enterprise workflows. , Design APIs, event-driven architectures, and streaming data solutions. , Contribute to governance processes through architectural documentation, diagrams, and reviews. ] Requirements: Azure Data, Databricks, Cloud, SQL, Python, PySpark, Data engineering, Kafka, Azure, DevOps, Security, GDPR, Communication skills, Wireframes Additionally: Sport Subscription, Private healthcare, Life insurance.



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