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Cloud Data Architect
1 month ago
The ideal candidate will be responsible for designing, implementing, and managing data solutions for our organization. This role requires a strong understanding of business requirements and the ability to translate them into technical solutions.
Key Responsibilities- Collaborate with stakeholders to understand business requirements and design scalable and reliable data architectures.
- Develop data models, database design, and data flow processes.
- Ensure data security and compliance with regulatory standards.
- Optimize data storage, retrieval, and processing for performance and cost efficiency.
- Provide technical guidance and support to development and operations teams.
- Evaluate and recommend new technologies and tools to improve data infrastructure.
- Identify and troubleshoot data infrastructure issues.
- Document architecture and processes.
- Collaborate with cross-functional teams to ensure alignment of data solutions with business goals.
- Conduct performance tuning and optimization of data solutions.
- Implement best practices for data integration, transformation, and analytics.
- Lead and participate in data solution planning and strategy.
- Stay updated with industry trends and best practices in data architecture and cloud technologies.
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Proven experience as a data architect or solution architect in cloud environments.
- Demonstrated expertise in Azure, AWS, GCP, Snowflake, and Data Bricks.
- Strong understanding of data modeling, database design, and data management.
- Proficiency in SQL and NoSQL databases.
- Experience with big data technologies and frameworks.
- Familiarity with data governance and security best practices.
- Excellent analytical and problem-solving skills.
- Effective communication and stakeholder management abilities.
- Certifications in relevant cloud and data technologies (e.g., Azure Architect, AWS Solutions Architect, GCP Professional Data Engineer) are a plus.
- Ability to work in a fast-paced and dynamic environment.
- Team player with strong collaboration skills.
- Proven track record of successfully delivering complex data solutions.
- Experience with DevOps practices and CI/CD pipelines is desirable.
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