Amazon Data Architect AWS Professional Services Global Health & Nonprofits 

United States, Texas, Arlington 

951187403

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Responsibilities include:• Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
• Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
• Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
• Innovate - Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environmentBASIC QUALIFICATIONS
• Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
• 5+ years of experience of IT platform implementation in a technical and analytical role
• 3+ years of experience of Data Lake/Hadoop platform implementation
• 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.PREFERRED QUALIFICATIONS
• Hands on experience leading large-scale global data warehousing and analytics projects
• Experience Apache Hadoop and the Hadoop ecosystem
• Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
• Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
• Experience developing software code in one or more programming languages (Java, Python, etc)
• Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
• Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
• Implementing AWS services in a variety of distributed computing, enterprise environments
• Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigationThis role is hybrid, it is expected to work from one of the above locations at least 3+ days in a week.

- 5+ years of IT implementation experience
- 3+ years of experience of Data Lake/Hadoop platform implementation
- 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.