Data Architecture Lead
2 weeks ago
We're seeking an experienced Data Architect to play a pivotal role in architecting and implementing cutting-edge data solutions across our global organisation.
This role will involve working on multifaceted projects, collaborating with international teams to drive innovative data-driven solutions.
Key Responsibilities:
- Design and implement scalable, robust, and secure data solutions leveraging Azure and GCP cloud environments.
- Collaborate closely with international teams to gather requirements, translate business needs into technical specifications, and design comprehensive data architectures.
- Develop and maintain data models, schemas, and databases while ensuring high performance, security, and reliability in a global context.
- Implement and manage data pipelines, ETL processes, and integration strategies, ensuring seamless connectivity across diverse systems and regions.
- Provide expertise in API integration, enabling efficient data exchange and synchronisation between various applications and platforms.
- Drive innovation by staying abreast of emerging technologies and assessing their potential application to enhance our global data architecture.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Overall 12+ years of experience in data domain and extensive experience (at-least 6+ years) as a Data Architect, demonstrating a focus on cloud technologies, particularly Azure and GCP, within a global organisational setting.
- Profound knowledge of designing and implementing cloud-based data solutions, ensuring scalability, reliability, and alignment with global standards and regulations.
- Expertise in data modelling, database design principles, and best practices for data management within a global context.
- Strong understanding and practical experience in API integration, facilitating seamless communication between distributed systems.
Preferred Qualifications:
- Knowledge of life insurance industry.
Hands on:
Python or Scala, SQL, DataBricks, Knowledge on Data Governance tools.
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