Data Platform Architect
vor 2 Wochen
About reeeliance IM GmbH
reeeliance IM GmbH is a data-driven company specializing in Data Management, Fast Data, Advanced Analytics, and DataOps. With offices across Europe, we partner with international clients to build scalable information ecosystems and empower them to become data-driven organizations.
About the Role: Data Platform Architect
We are dedicated to designing cutting-edge data architectures that unlock the full potential of data. As a Data Platform Architect at reeeliance IM GmbH, you will lead the development of state-of-the-art data platforms for multinational clients. You'll work on diverse projects encompassing data warehouse implementations, IoT setups, and AI applications, with a focus on Data Vault architectures and fast data scenarios.
Responsibilities:
- Define, implement, and govern data modeling standards to ensure consistency and quality across all projects.
- Guide clients in generating solution designs that align with their business objectives and technical requirements.
- Transform client needs into robust data architectures that address their specific challenges and opportunities.
- Develop comprehensive data models, including ETL pipelines, to facilitate seamless data integration and transformation.
- Conduct client workshops to gather requirements, present solutions, and foster collaboration throughout the project lifecycle.
- Implement end-to-end architecture projects, ensuring adherence to best practices and industry standards.
- Embrace test-driven development methodologies to ensure code quality and reliability.
- Stay abreast of emerging IT trends and technologies to continuously enhance your expertise and contribute to innovative solutions.
- Participate in conferences and networking events to expand your professional network and share your knowledge with the wider data community.
Requirements:
- 3-5 years of experience in data integration modeling, demonstrating a strong understanding of data warehousing principles and best practices.
- Hands-on experience with Databricks or Snowflake, showcasing your proficiency in cloud-based data platforms.
- Proficiency in Python and SQL, enabling you to develop efficient data pipelines and perform complex data analysis.
- A solid understanding of data management principles, including data governance, security, and compliance.
- Exceptional problem-solving skills, allowing you to identify and resolve complex technical challenges effectively.
- A university degree in computer science, information technology, or a related field.
- Excellent verbal and written communication skills, enabling you to collaborate effectively with clients and team members.
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