
High-Performance Data Strategist
1 day ago
Data Engineering Challenge
We are seeking a skilled Senior Data Architect to lead our modernization efforts. The ideal candidate will have a deep understanding of data modeling, domain-driven design, and CQRS principles.
Our team aims to build a robust and scalable data platform that drives business success. We need a passionate data architect to join us in designing and implementing secure, high-performing data solutions using various technologies.
The role involves being a trusted advisor to business units, partnering with product engineering teams to architect data solutions for key initiatives. You will be embedded with these teams, playing a key role throughout the entire data lifecycle.
- Day-to-Day Responsibilities:
- Develop and implement a long-term data strategy aligned with business objectives, focusing on event-driven architectures and real-time analytics.
- Demonstrate expertise in Kappa and Lambda architectures, data modeling, domain-driven design, CQRS, and stream processing frameworks.
- Address complex data challenges, such as large-scale data integration, real-time analytics, and data governance.
- Design and model data structures, schemas, and relationships to optimize performance and scalability.
- Lead the transition of existing applications to event-driven architectures, leveraging event modeling, domain-driven design, and CQRS.
- Collaborate with development teams to ensure seamless integration of data models and architectures.
- Mentor junior data professionals, fostering a culture of innovation and excellence.
Your Impact
You will craft solutions that integrate on-premises, cloud-based, and hybrid data storage options, ensuring optimal data management across the organization. Ensure your data architectures and designs adhere to specific enterprise data architecture standards for each data store type.
Requirements
- 10+ years of experience as a Data Architect or similar role.
- Proven track record of leading successful data modernization projects.
- Deep understanding of data modeling techniques.
- Expertise in domain-driven design principles and their application to data modeling.
- Proficiency in Kappa and Lambda architectures, including their benefits, challenges, and best practices.
- Strong experience with stream processing frameworks (e.g., Apache Flink, Apache Spark Streaming).
- Certifications related to data architecture, cloud platforms, or data analytics.
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