Job description

#### About the Role We partner with global enterprises to design and build large-scale data platforms that power digital products used by millions of users. Our work involves complex data ecosystems, cloud-native architectures, and high-volume, high-impact use cases. We’re looking for a **Solutions Architect** who combines deep technical command with exceptional communication skills and the presence to align and drive work across large, cross-functional teams. This role is hands-on and senior - owning architecture decisions across the stack while also working directly with **Python, Docker, EKS, EMR/Spark, and the AWS core stack**, with **Git/GitHub** collaboration at enterprise scale and **Databricks** as a valued addition. This is a technical leadership role, not a people-management one: you'll lead through architecture, technical credibility, and influence rather than a reporting line. #### Actively hiring We are hiring for a current opening on an active client project. This is a specific, presently open role. We review applications on a rolling basis and aim to move qualified candidates through our process promptly. #### What You’ll Do * **Design** end-to-end cloud-native data architectures on AWS, leveraging core services (EKS, EMR/Spark, S3, IAM, VPC, Lambda) to build secure, scalable, and high-performance platforms. * **Containerize and orchestrate** data workloads using **Docker and Amazon EKS**, ensuring reproducibility, portability, and production-readiness across environments. * **Lead distributed data processing** at scale using **EMR/Spark**, designing efficient batch and streaming job architectures for high-volume use cases. * **Translate complex business and product requirements** into robust, scalable technical solutions, communicating architectural decisions clearly to both technical and non-technical stakeholders. * **Define standards, patterns, and best practices** for Python-based pipeline development, infrastructure-as-code, and platform integrations across the AWS stack. * **Act as technical lead and advisor** for engineering teams—commanding the work, unblocking decisions, and ensuring architectural alignment from design through delivery. * **Review designs and implementations** to ensure performance, security, reliability, and cost efficiency—applying FinOps principles to cloud resource management. * **Leverage Databricks** (nice to have) for unified analytics, Delta Lake workflows, or ML workloads where it adds value to the client’s platform architecture. * **Own and enforce Git/GitHub workflows** across large, multi-team organizations—establishing branching strategies, code review standards, and shared repository governance for distributed engineering teams. #### What We’re Looking For * 8+ years across solutions architecture, data engineering, or related roles, with a proven track record of designing and delivering enterprise-grade platforms. * Deep, hands-on expertise across core AWS services—EKS, EMR, S3, IAM, VPC, Lambda, and CloudWatch—with the ability to implement infrastructure as code. * Strong Python proficiency for pipeline development, automation scripting, and platform tooling. * Production-level experience containerizing workloads with Docker and orchestrating them on Amazon EKS in enterprise environments. * Proven ability to design and optimize distributed data processing jobs using EMR and Apache Spark for high-volume batch and streaming use cases. * Expert-level experience with Git workflows and GitHub collaboration at large-organization scale—including shared repo management, branching strategies, and cross-team code governance. * Skilled communicator who can command the work—leading technical conversations, aligning stakeholders, and driving decisions in complex, multi-team environments. * Experience integrating AI-native tooling and large language models into engineering workflows - using them to accelerate throughput and strengthen technical discovery. * Nice to have—familiarity with Databricks for analytics, Delta Lake, or ML workloads is a strong differentiator. * Fluent English, both written and spoken. #### Why Lumenalta is an amazing place to work at At Lumenalta, you can expect that you will: * Be 100% dedicated to one project at a time so that you can innovate and grow. * Be a part of a team of talented and friendly senior-level developers. * Work on projects that allow you to use leading tech. #### Location This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules. #### Application Deadline Applications will be accepted until **October 25th, 2026**. Candidates can expect feedback by **November 2nd, 2026**.

Requirements

Must-haves

#### About the Role
This is a technical leadership role, not a people-management one: you'll lead through architecture, technical credibility, and influence rather than a reporting line.
#### Actively hiring
We are hiring for a current opening on an active client project. This is a specific, presently open role. We review applications on a rolling basis and aim to move qualified candidates through our process promptly.
#### What You’ll Do
Design** end-to-end cloud-native data architectures on AWS, leveraging core services (EKS, EMR/Spark, S3, IAM, VPC, Lambda) to build secure, scalable, and high-performance platforms.
Containerize and orchestrate** data workloads using **Docker and Amazon EKS**, ensuring reproducibility, portability, and production-readiness across environments.
Lead distributed data processing** at scale using **EMR/Spark**, designing efficient batch and streaming job architectures for high-volume use cases.
Translate complex business and product requirements** into robust, scalable technical solutions, communicating architectural decisions clearly to both technical and non-technical stakeholders.
Define standards, patterns, and best practices** for Python-based pipeline development, infrastructure-as-code, and platform integrations across the AWS stack.
Act as technical lead and advisor** for engineering teams—commanding the work, unblocking decisions, and ensuring architectural alignment from design through delivery.
Review designs and implementations** to ensure performance, security, reliability, and cost efficiency—applying FinOps principles to cloud resource management.
Own and enforce Git/GitHub workflows** across large, multi-team organizations—establishing branching strategies, code review standards, and shared repository governance for distributed engineering teams.
#### What We’re Looking For
8+ years across solutions architecture, data engineering, or related roles, with a proven track record of designing and delivering enterprise-grade platforms.
Deep, hands-on expertise across core AWS services—EKS, EMR, S3, IAM, VPC, Lambda, and CloudWatch—with the ability to implement infrastructure as code.
Strong Python proficiency for pipeline development, automation scripting, and platform tooling.
Production-level experience containerizing workloads with Docker and orchestrating them on Amazon EKS in enterprise environments.
Proven ability to design and optimize distributed data processing jobs using EMR and Apache Spark for high-volume batch and streaming use cases.
Expert-level experience with Git workflows and GitHub collaboration at large-organization scale—including shared repo management, branching strategies, and cross-team code governance.
Skilled communicator who can command the work—leading technical conversations, aligning stakeholders, and driving decisions in complex, multi-team environments.
Experience integrating AI-native tooling and large language models into engineering workflows - using them to accelerate throughput and strengthen technical discovery.

Nice-to-haves

Leverage Databricks** (nice to have) for unified analytics, Delta Lake workflows, or ML workloads where it adds value to the client’s platform architecture.
Nice to have—familiarity with Databricks for analytics, Delta Lake, or ML workloads is a strong differentiator.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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