Amazon Sr Data Architect Lake & Analytics ProServe SDT North 

Sweden 

687111380

Key job responsibilities
- You will design and deliver solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations.
- You will create and apply frameworks, methods, best practices and artifacts that deliver prescriptive guidance to customers, and publish and present them in large forums and across various media platforms.
- You will guide customers’ technical architecture and investments, maximizing alignment with the AWS platform, and ease of adoption as new services and products become available.
- You will help customers define target business outcomes and related work streams, and lead the subsequent projects and initiatives to consistently exceed these goals.
- As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development.
- This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

- Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
- 8+ years of experience of IT platform implementation in a highly technical and analytical role.
- 5+ years’ experience of Data Lake/Hadoop platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations
- Ability to think strategically about business, product, and technical challenges in an enterprise environment.
- Experience with analytic solutions applied to the Marketing or Risk needs of enterprises

- Experience in a Chief Data Architect role or similar
- Masters or PhD in Computer Science, Physics, Engineering or Math.
- Hands on experience leading large-scale global data warehousing and analytics projects.
- Ability to lead effectively across organizations.
- Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
- Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
- Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR).