Delivery Consultant: Data and Analytics, AWS Professional Services, South Africa

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for leading the implementation process ensuring adherence to best practices optimizing performance and managing risks throughout the project.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices lead projects manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities
*Advise customers technologists and business leads; help them to explore the art of the possible with Data and Analytics and to develop scalable Data solutions on AWS to deliver business value in the most effective way
*Discuss industryspecific business concepts with customer technologists and business leads especially in FSI Mining and Retail
*Deliver large complex customer engagements across presales and delivery from ideation through architecture design and scoping all the way to development testing and roll out
*Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS


About the team
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below we encourage candidates to apply.

Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS its in our nature to learn and be curious. Our employeeled 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 (diversity) conferences inspire us to never stop embracing our uniqueness.

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Bachelors degree in Computer Science Engineering related field or equivalent experience
3 years experience in cloud architecture designing and implementing cloud solutions.
Handson experience in developing scalable highperformance data ingestion and engineering pipelines performing complex data transformations across large datasets using Apache Spark API and SparkSQL to implement data lake architectures
Strong programming skills in both Python and Scala
5 years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design architecture and implementation (Data Lake Data Warehouse Lake House Data Mesh Data as a Product and Data Governance including Data quality and controls etc..).
Ability to think strategically about business solutions and technical challenges.

3 years Technical experience preferred knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
Industry experience with key vertical markets such as Financial Sector Telecom Mining and Retail.
AWS Experience and Certifications including implementation of cloudbased Data and Analytics solutions.
Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
Advanced technology degree or AWS Professional level certifications (e.g. Solutions Architect Professional DevOps Engineer Professional) preferred
Deep understanding of AWS services across compute storage networking security databases machine learning and serverless technologies
Knowledge of security and compliance standards (e.g. HIPAA GDPR)

Amazon is an equal opportunities employer and we value your passion to discover invent simplify and build. We welcome applications from all members of society irrespective of age sex disability sexual orientation race religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national along with an updated curriculum vitae.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.