Job Description:
We are seeking a highly skilled and experienced Solution Architect – Data Analytics for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.
Responsibilities:
- Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data analytics solutions, and create architectural diagrams and documentation.
- AWS Expertise: Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms.
- Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
- Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
- Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
- Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
- Troubleshooting and Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
- Collaboration: Work closely with data engineers, data scientists, business analysts, and stakeholders to understand their needs and provide technical guidance.
- Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data analytics capabilities.