Cloud Data Solutions Delivery Lead

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 131,000 - 178,000

Full time

2 days ago
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Job summary

Amazon Web Services, Inc. seeks a Delivery Consultant to partner with customers to design, implement, and manage AWS solutions that meet technical requirements and business goals in Seattle.

You will lead the implementation, ensuring best practices, optimizing performance, and managing risks across the project lifecycle, leveraging Spark, Python, and Scala to deliver scalable cloud data platforms.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 3+ years experience in cloud architecture, designing and implementing cloud solutions.
  • Hands-on experience with Apache Spark API and SparkSQL for data lake architectures.
  • Strong programming skills in Python and Scala.
  • 3+ years SDLC experience including CI/CD, code reviews, and source control.

Responsibilities

  • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs.
  • Providing technical guidance and troubleshooting throughout project delivery.
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies.
  • Acting as 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 experience
Apache Spark
SparkSQL
Python
Scala
Data ingestion pipelines
SDLC
CI/CD automation

Education

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

Tools

AWS
CI/CD tooling
Data Lake architectures

Job description

Amazon Web Services, Inc. seeks a Delivery Consultant to partner with customers to design, implement, and manage AWS solutions that meet technical requirements and business goals in Seattle.

You will lead the implementation, ensuring best practices, optimizing performance, and managing risks across the project lifecycle, leveraging Spark, Python, and Scala to deliver scalable cloud data platforms.

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