Data Solutions Architect - Databricks

• 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 lead and drive work across large, cross-functional teams. This role is hands-on and senior—owning architecture decisions across but 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.

• 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
• A total of 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.
• Integrate AI-native methodologies and large language models into existing workflows to accelerate engineering throughput and enhance technical discovery processes.
• 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.
• 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
• 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.

Benefits

• 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.

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

• Application Deadline
• Applications will be accepted until July 12, 2026. Candidates can expect feedback by August 1, 2026.