Analytics Specialist Solutions Architect - ASEAN

Analytics Specialist Solutions Architect - ASEAN

Are you an experienced Big Data Solutions Architect? Do you like to solve the most complex and high-scale data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing and big data technologies to achieve the highest business impacts? Would you like to be part of history that is transforming the world? Would you like a career path that enables you to learn and progress with highly motivated, fun-loving, and skilled colleagues? Amazon Web Services (AWS) is looking for highly skilled and motivated Big Data & Analytics Solutions Architect to help accelerate the growth of our customers' businesses in Malaysia and ASEAN. You would be part of a dynamic team bringing the latest in disruptive, Cloud Computing and Big Data technologies to enable leaders that want to serve customers more effectively. You will have the opportunity to shape and deliver on a strategy to help customers better leverage AWS Data & Analytics platforms to meet their innovation goals. 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. Amazon strives to be the most customer-centric company on earth. The ideal candidate will:

1. Enjoy working with customers and partners. You will have a passion for educating, training, designing, and building Big Data & Analytics cloud computing systems for some of the largest and most important accounts to drive efficiencies and increase innovation.
2. You will enjoy keeping your existing technical skills and developing new ones, enabling you to lead deep Big Data & Analytics architecture discussions.
3. You will have experience in applying Artificial Intelligence and Machine Learning techniques to solve complex data challenges and drive business impact.
4. 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.
5. 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.
6. 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.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities

1. Collaborate with AWS field sales, Solution Architects, training and support teams to help partners and customers learn and understand the capabilities and value of AWS Big Data and Analytics services such as AWS Glue, Amazon Elastic Map Reduce (EMR), Amazon Redshift, Amazon Athena & Amazon Kinesis, in addition to other offerings that form the Data & Analytics ecosystem.
2. 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.
3. Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence / Machine Learning / Artificial Intelligence / Generative AI cloud computing.
4. Build the Community – Develop and cultivate a community of Big Data & Analytics experts, sharing ideas and best practices. Coordinate efforts around IP development, evangelism and thought-leadership events relating to Big Data & Analytics.
5. Provide thought leadership to Data & Analytics experts both externally through events like AWS Summit Series and User-Groups.
6. Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.

The candidate will possess both technical and customer-facing skills that will allow them to be a "trusted advisor" to customers. They will be able to facilitate relationships with senior personnel, as well as easily interact and give guidance to database experts, software developers, IT pros, and system architects. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. If you are someone who enjoys innovating, likes diving deep, solving hard problems and working on cutting edge technology, we would love to have you on the team. 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 Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship 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. Minimum Requirements

1. Bachelors degree
2. 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.
3. 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.
4. 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.
5. 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.
6. An advanced degree in computer science, MIS, engineering or a related discipline.
7. Hands-on experience with Amazon Web Services (AWS) data and analytics services, including expertise in architecting and deploying scalable, secure, and highly available solutions.
8. Proven track record of driving innovation and thought leadership in the fields of Big Data processing, data warehousing, data governance, and advanced analytics, including the application of Machine Learning and Artificial Intelligence.
9. Deep understanding of data ecosystems, including application, server, and network security, as well as data privacy and compliance regulations.
10. Experience with statistics, mathematical modelling, and the practical application of predictive analytics and data science techniques to solve complex business problems.

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