Remote AWS Data Solutions Architect & Technical Lead

Lumenalta; United States; Remote; USD 75,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401K Contribution

15 days paid time off annually

Professional development fund

Job summary

Lumenalta is seeking a Data Solutions Architect / Technical Lead to design and implement enterprise-scale data platforms on AWS. You will drive architecture decisions, build scalable pipelines in Python, and containerize workloads using Docker and EKS.

The role emphasizes technical leadership over people management, with a focus on secure, cost-efficient, high-performance solutions. The ideal candidate brings 8+ years in related roles, strong Python and cloud experience, and comfort leading

Qualifications

• 8+ years in solutions architecture, data engineering, or related roles.
• Strong Python proficiency for pipeline development and tooling.
• Experience containerizing workloads with Docker and deploying on AWS (EKS/ECS).

Responsibilities

• Design end-to-end cloud-native data architectures on AWS.
• Containerize and orchestrate data workloads with Docker and EKS.
• Lead distributed data processing with EMR/Spark for batch and streaming use cases.
• Translate business requirements into scalable technical solutions with clear communication to stakeholders.
• Define standards and best practices for Python-based pipelines and IaC across AWS.
• Act as technical lead, guiding architecture decisions and cross-team collaboration.
• Review designs for performance, security, and cost efficiency with FinOps mindset.
• Leverage Databricks for analytics or ML workloads when valuable.
• Own Git/GitHub workflows and governance across large engineering teams.

Skills

Python

Cloud architecture

Leadership

Communication

FinOps

Problem solving

Tools

Docker

Git/GitHub

AWS

EKS

EMR/Spark

Databricks

Job description

Lumenalta is seeking a Data Solutions Architect / Technical Lead to design and implement enterprise-scale data platforms on AWS. You will drive architecture decisions, build scalable pipelines in Python, and containerize workloads using Docker and EKS.

The role emphasizes technical leadership over people management, with a focus on secure, cost-efficient, high-performance solutions. The ideal candidate brings 8+ years in related roles, strong Python and cloud experience, and comfort leading