Data Solutions Architect / Technical Lead

Навыки

• AWS
• Code review
• Коммуникация
• Databricks
• Docker
• Git
• GitHub

О компании и продукте

• 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.
• 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.

Задачи

• 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

Требования

• 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 **August 23, 2026**. Candidates can expect feedback by **August 31, 2026**

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