Senior Data Architect
2 weeks ago
About the Role
As a Senior Data Solutions Architect at Jet2holidays, you'll have the opportunity to shape and develop data solutions across our organization. You'll become a domain expert within one of our key business initiatives, understanding its intricacies and building strong relationships with both technical and business teams.
Your Responsibilities
- Collaborate on new projects from conception to implementation, defining high-level solutions and identifying technological needs.
- Evaluate various technology options and conduct proof-of-concept demonstrations to support your architectural designs.
- Contribute to our data architecture forum and wider architecture discussions, influencing technology choices and guiding the development of our overall logical architecture.
- Work closely with architects across data and applications to ensure that solutions are simple, effective, and future-proof, placing data at the core of everything we do.
Your Skills and Experience
- Proven experience in a technical role with extensive exposure to data, such as data architect, data engineer, data analyst, software engineer/tester, DevOps engineer, or data scientist.
- A solution-oriented mindset combined with strong analytical and creative skills.
- Demonstrated leadership potential and the ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
- Hands-on experience in projects involving data solutions, including data delivery/management, data lakes, system integration, data migration, and data warehousing within cloud-based platforms.
- Solid understanding of data modeling principles and the ability to design effective data structures for various applications.
- In-depth knowledge of modern data solutions such as data lakes, data platforms, data streaming, and best practices for data security.
- Familiarity with cloud-native computing concepts and experience with public hyperscalers (Azure, AWS, or GCP).
- A genuine interest in emerging technologies, methodologies, and concepts within the data domain, such as data governance & management, data mesh, data vault 2.0, delta lake, DWH automation, and event streaming.
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