Amazon Analytics Specialist Solutions Architect - ASEAN 

Malaysia, Kuala Lumpur 

505510495

Expertise in Artificial Intelligence and Machine Learning (AIML) is a bonus, as you will be expected to leverage these technologies to extract maximum value from the data and help our customers drive innovation.
- You will enjoy keeping your existing technical skills and developing new ones, enabling you to lead deep Big Data & Analytics architecture discussions.
- You will have experience in applying Artificial Intelligence and Machine Learning techniques to solve complex data challenges and drive business impact.
- You will be happy to roll up your sleeves, learn the deep details of AWS systems, and generally do what it takes to achieve technical success for customers on the AWS platform.
- You will develop and run technical content, prove our technology through mechanisms like demonstrations, proof-of-concepts. You will guide technical teams in our customers on the best practices in architecting Big Data systems.
- As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.Key job responsibilities- Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and designing relevant data solutions.
- Provide thought leadership to Data & Analytics experts both externally through events like AWS Summit Series and User-Groups.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.Why AWS
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.

- - Bachelors degree
- - 7+ years of hands-on implementation and architecture experience in data warehousing, data lakes, operational analytics, data migration, data governance, and integration scenarios, with a deep understanding of Apache Hadoop and the Hadoop ecosystem, and experience in tools/technologies/languages such as SQL, Python, Hive, Kafka, Spark, Flink, and Presto.
- - Proven track record of success in a consultative technical sales or professional services role, with the ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives.
- - Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment, with a track record of thought leadership and innovation around Big Data.
- - Strong verbal and written communication skills, the ability to lead effectively across internal and external organizations and distributed teams, and a talent for influencing and building mind-share convincingly with any audience, including experience in public speaking to large audiences.