Cloud Data Delivery Architect

Amazon Web Services (AWS); Jersey City (NJ); On-site; USD 145,000 - 195,000; Full time

Job summary

Amazon Web Services, Inc. in Jersey City is seeking a Delivery Consultant to design, implement, and manage AWS solutions that meet customers' technical requirements and business objectives.

You will guide migrations, optimize performance, and mentor teams throughout the project lifecycle. This role requires a solid background in cloud architecture, data pipelines, Python and Spark, and the ability to communicate complex solutions to diverse stakeholders.

Qualifications

• Bachelors degree or equivalent in CS/Engineering or related field.
• 3+ years experience in cloud architecture, designing and implementing cloud solutions.
• Hands-on data ingestion pipelines using Apache Spark API and SparkSQL for data lake architectures.
• Strong programming skills in Python and Scala.
• 3+ years of full SDLC including CI/CD, code reviews, and operations.

Responsibilities

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Collaborating with stakeholders to gather requirements and propose effective migration strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Cloud architecture

Python

Scala

Apache Spark

SparkSQL

Data pipelines

Data lake

CI/CD

Education

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience

Tools

Spark API

CI/CD tooling

Job description

Amazon Web Services, Inc. in Jersey City is seeking a Delivery Consultant to design, implement, and manage AWS solutions that meet customers' technical requirements and business objectives.

You will guide migrations, optimize performance, and mentor teams throughout the project lifecycle. This role requires a solid background in cloud architecture, data pipelines, Python and Spark, and the ability to communicate complex solutions to diverse stakeholders.