Senior Data Architect with AWS Migration Expertise – to 225k! (SK) Undefined

Salary is 180k to 225k

Hybrid position

Senior Data Architect with AWS Migration Expertise

Seeking a seasoned Senior Data Architect with a strong focus on data architecture and hands-on experience in Python development, coupled with a proven track record in migrating data solutions to the AWS ecosystem. As a key contributor, you will take a lead role in crafting and implementing robust data architectures, ensuring seamless migration processes, and optimizing data workflows.

Responsibilities:
1. Architect, design, and implement complex data solutions, leveraging Python as a primary development language.
2. Lead the migration of existing data systems to AWS, ensuring a smooth transition while maximizing performance and scalability.
3. Collaborate closely with cross-functional teams to gather data requirements and translate them into effective data architecture designs.
4. Develop and implement ETL processes to facilitate efficient data extraction, transformation, and loading within the AWS environment.
5. Evaluate and recommend appropriate AWS services and tools for optimal data storage, processing, and analytics.
6. Perform data modeling and database design, focusing on optimizing structures for high-performance analytics and reporting.
7. Ensure data security, integrity, and compliance with industry standards and regulatory requirements.
8. Provide technical leadership, guidance, and mentorship to team members, fostering a culture of continuous improvement.

Requirements:
1. Extensive experience as a Data Architect, with a strong emphasis on data architecture and Python development.
2. Proven track record in successfully migrating data solutions to AWS.
3. Deep understanding of AWS services related to data, including storage, processing, and analytics.
4 Expertise in designing and implementing efficient ETL processes.
5. Proficiency in data modeling, database design, and optimization techniques.
6. Strong problem-solving skills and ability to troubleshoot complex data issues.
7. Familiarity with Agile development methodologies.
8. Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.