Data Solutions Architect / Technical Lead

Lumenalta; United States; Remote; CAD 104,000 - 222,000; Full time

Job summary

Lumenalta is seeking a senior Solutions Architect to design, implement, and drive cloud-native data architectures on AWS. You will containerize workloads with Docker and EKS, lead distributed processing with EMR/Spark, and translate business needs into scalable technical solutions.

This hands-on role requires strong Python skills, IaC experience, and proficiency with Git/GitHub in enterprise environments. Remote-friendly with international collaboration.

Qualifications

• 8+ years across solutions architecture, data engineering, or related roles.
• 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 - shared repo management, branching strategies, and cross-team code governance.
• Fluent English, both written and spoken.
• Nice to have - familiarity with Databricks for analytics, Delta Lake, or ML workloads is a strong differentiator.

Responsibilities

• Design end-to-end cloud-native data architectures on AWS leveraging core services to build scalable platforms.
• Containerize and orchestrate data workloads using Docker and Amazon EKS across environments.
• Lead distributed data processing at scale using EMR/Spark for high-volume batch and streaming use cases.
• Translate complex business requirements into robust technical solutions and communicate decisions clearly.
• Define standards, patterns, and best practices for Python-based pipeline development, IaC, and AWS integrations.
• Act as technical lead and advisor for engineering teams, ensuring architectural alignment from design to delivery.
• Review designs and implementations to ensure performance, security, reliability, and cost efficiency.

Skills

Solutions architecture

Python proficiency

English fluency

Cross-functional communication

Cloud-native architectures

Tools

Docker

Amazon EKS

EMR/Spark

Databricks

Git/GitHub

Job description

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 - 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.

Salary range: CA$104,000 - CA$222,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

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.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

• Flexible working hours in a remote environment.
• Health insurance (medical and dental) for T4 Employees.
• A professional development fund to enhance your skills and knowledge.
• 15 days of paid time off annually.
• Access to soft-skill development courses to further your career.

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

Application Deadline

Applications will be accepted until September 6, 2026. Candidates can expect feedback by September 14, 2026.