# Data Solutions Architect / Technical LeadData Engineer#### About the RoleWe 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 hiringWe 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 atAt 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.#### LocationThis 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 DeadlineApplications will be accepted until **September 20th, 2026**. Candidates can expect feedback by **September 28th, 2026**.## Salary**Salary range:** $75k - $160k annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.## BenefitsIn 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 W2 Employees.* 401K Contribution.* 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.## Position DetailsThis is a full-time position requiring a minimum of **40 hours per week, Monday through Friday**.At **Lumenalta**, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.