We are looking for an experienced Data Architect who has a strong background in designing and implementing data solutions on both AWS (Amazon Web Services) and Azure cloud platforms. As a Data Architect, you will play a pivotal role in defining data architecture strategies, developing data models, and overseeing the implementation of data solutions that leverage the capabilities of AWS and Azure.
Responsibilities:
- Collaborate with stakeholders to understand business requirements and design data architecture solutions that align with organizational goals.
- Develop data models, data flows, and data integration strategies to ensure efficient and scalable data processing.
- Design, implement, and maintain data solutions on both AWS and Azure cloud platforms.
Utilize cloud-native services, data storage options, and data processing capabilities to build robust and scalable data architectures. - Design and oversee the implementation of data integration processes, including ETL (Extract, Transform, Load) workflows, to ensure seamless data flow between systems.
Performance Optimization: - Identify and resolve performance bottlenecks in data processing and storage on AWS and Azure, optimizing data architecture for maximum efficiency.
- Optimize data storage and processing costs on AWS and Azure by leveraging cost-effective services and resource management strategies.
- Plan and execute data migration projects from on-premises systems to cloud platforms, ensuring data integrity and minimal downtime.
- Work closely with cross-functional teams, including data engineers, data analysts, and business stakeholders, to understand data requirements and provide architectural guidance.
Qualifications and Skills:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Architect, preferably with hands-on experience in designing and implementing data solutions on AWS and Azure.
- Strong expertise in cloud technologies and services offered by AWS and Azure for data storage, data processing, and analytics.
- In-depth knowledge of data architecture principles, data modeling, and data governance.
- Familiarity with ETL tools, data integration, and data migration processes.
- Proficiency in data warehousing concepts and technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal abilities to collaborate with technical and non-technical stakeholders.
