Amazon Delivery Consultant – Data & Analytics AWS Professional Services 

United States, Massachusetts, Boston 

541399535

Key job responsibilities
As an experienced technology professional, you will be responsible for: 1.Designing and implementing end-to-end large-scale, complex, scalable, and secure Data & Analytics AWS solutions tailored to customer needs 2.Providing technical guidance and troubleshooting support throughout project delivery 3.Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies 4.Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance whilealigning data solutions with business strategies. 5.Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the team
About AWS:
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. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor’s degree in computer science, Engineering, related field, or equivalent experience
- 5+ years of experience in data or software engineering, with a strong understanding of distributed data processing.
- 5+ years of experience designing and building scalable, highly available data solutions, including ETL/ELT pipelines, data quality, and monitoring processes.
- 3+ Proficiency in SQL, Python, and at least one additional programming language (e.g., Java, Scala, etc).

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Strong experience with distributed frameworks (e.g. Spark, Hadoop, Kafka, Presto, Flink, S3, HDFS, DBs) and a solid understanding of JVM or similar runtime. Experience designing and building data governance and data protection mechanisms
- Experience building applications using Generative AI tools and technologies (LLMs, Vector Stores, Orchestrators such as LangChain, Prompt Engineering)