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AWS Cloud
Data Architecture
Data Modeling
ETL/ELT Pipeline Development
Data Mesh Architecture
Terraform
CI/CD Pipelines
DevSecOps
Git
Data Integration
Data engineer
AWS
Cloud

Summary

Job Title:	AWS Cloud Data Engineer
Duration:	18 Months
Location:	San Francisco, CA

Job Description:

We are seeking an experienced Lead Cloud Data Engineer to design and modernize enterprise-scale data platforms using AWS, Data Mesh architecture, and AI-driven solutions. This role will lead the development of scalable data pipelines, cloud infrastructure, and AI-enabled engineering practices while mentoring technical teams and supporting enterprise data modernization initiatives.

Job Responsibilities:

Design, build, and maintain scalable ETL/ELT data pipelines using AWS services (Glue, EMR, Lambda, Kinesis, Step Functions).
Develop and implement Data Mesh architecture with domain-driven data products and federated governance.
Build modern cloud data platforms using Databricks, Delta Lake, Starburst/Trino, Collibra, and Immuta.
Implement data governance, metadata management, data lineage, and automated data quality frameworks.
Develop reusable frameworks and self-service tools for data publishing and consumption.
Integrate DevSecOps practices including CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and security automation.
Design AI-powered solutions, RAG pipelines, and agentic AI applications using Amazon Bedrock or similar LLM platforms.
Provide technical leadership, mentor engineering teams, and support L3 production issues.
Collaborate with business stakeholders to translate requirements into scalable cloud data solutions.
Lead architecture reviews, technical documentation, and performance optimization initiatives.

Basic Qualifications:

7+ years of experience in Data Engineering, Cloud Data Platforms, or Data Architecture.
Strong hands-on experience with AWS services including S3, Glue, EMR, Redshift, Lake Formation, Lambda, and Kinesis.
Experience implementing Data Mesh architecture and modern data platforms using Databricks, Delta Lake, Starburst/Trino, Collibra, or Immuta.
Proficiency in DevSecOps, CI/CD, Terraform/CloudFormation, Docker, and AI technologies such as Amazon Bedrock, RAG, or Generative AI.

Additional Information:

Lead-level position requiring the ability to work independently with minimal supervision.
Experience working in hybrid cloud and on-premises enterprise environments is highly preferred.
Strong communication, leadership, and mentoring skills are essential.
Candidates with experience supporting government or regulated AWS environments (GovCloud) are highly preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123373
Position Id: PY/2056
Posted 15 days ago

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AWS Cloud Data Engineer

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