Remote Senior Data Architect @ N-iX
(práce v Polsku)

Remote Senior Data Architect @ N-iX

Polsko

• 5+ years of experience as a Solution/Data Architect in complex enterprise environments
• Extensive expertise in designing and implementing Databricks platforms
• Strong experience in cloud architecture, preferably Azure or AWS
• Proficient in Apache Spark and big data technologies
• Advanced understanding of data modeling, data integration patterns, and data governance
• Solid background in relational databases (MS SQL preferred) and SQL proficiency
• Practical knowledge of data orchestration and CI/CD practices (Terraform, GitLab)
• Ability to articulate complex technical strategies to diverse stakeholders
• Strong leadership and mentorship capabilities
• Fluent English (B2 level or higher)
• Exceptional interpersonal and communication skills in an international team setting

The Data and Analytics practice, part of the Technology Office, is a team of high-end experts in data strategy, data governance, and data platforms, and contribute to shaping the future of data platforms for our customers. As Senior Data Architect, you will play a crucial role in designing and overseeing the implementation of our strategic Databricks-based data and AI platforms. You will collaborate with data engineers and data scientists, define architecture standards, and ensure alignment across multiple business units. Your role will be pivotal in shaping the future state of our data infrastructure and driving innovative solutions within the automotive claims management domain.

,[Design scalable and robust data architectures using Databricks and cloud technologies (Azure/AWS), Oversee and guide the implementation of Databricks platforms across diverse business units, Collaborate closely with data engineers, data scientists, and stakeholders to define architecture standards and practices, Develop and enforce governance strategies, ensuring data quality, consistency, and security across platforms, Lead strategic decisions on data ingestion, processing, storage, and analytics frameworks, Evaluate and integrate new tools and technologies to enhance data processing capabilities, Provide mentorship and guidance to engineering teams, ensuring architectural compliance and effective knowledge transfer, Develop and maintain detailed architectural documentation.] Requirements: AWS, Databricks, CI/CD, Terraform, Apache Spark, Kubernetes, Docker

Kategorie

data

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