AWS Data Platform Engineer: Scale, Data Mesh & Lakehouse

Quantum Technologies. LLC; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced data engineer to design and operate distributed data pipelines for large datasets in a modern cloud environment.

You will contribute to data platform architecture, implement scalable data solutions with AWS tools, and ensure data quality and security. Collaboration with cross-functional teams is essential to deliver reliable data products.

Qualifications

• Passion for data and working with it at scale.
• Contribute to data platform architecture and evolution.
• Experience with SQL, NoSQL, and data normalization concepts.
• IaC tools such as CloudFormation and Terraform.
• Experience with AWS data services including EC2, EMR, DMS, GLUE, S3, Redshift, and more.
• Proficiency in SQL, Python, Scala, C#, or Go.
• Solid scripting knowledge (bash/PowerShell).
• Track record building scalable Data Lake solutions with multiple connectors.
• Background in Data Warehouse, ETL/ELT and BI.
• Envision and integrate emerging data technologies to tackle challenges.
• Experience with stream analytics technologies.

Responsibilities

• Build and maintain automated data flow orchestration with data quality monitoring.
• Design and implement API interfaces for accessibility.
• Deploy secure cloud data solutions aligned with privacy and security controls.
• Enable and support data analytics capabilities, meeting business and technical requirements.
• Research, analyze, and select technical approaches for complex problems.
• Contribute to data platform architecture evolution.

Skills

Distributed data systems

Data architectures

Master Data Management (Reltio)

Technical approach selection

Data workflow orchestration

API interfaces

Secure cloud data solutions

Data enablement & analytics

Job description

Quantum Technologies. LLC is seeking an experienced data engineer to design and operate distributed data pipelines for large datasets in a modern cloud environment.

You will contribute to data platform architecture, implement scalable data solutions with AWS tools, and ensure data quality and security. Collaboration with cross-functional teams is essential to deliver reliable data products.