Solution Architect

Domino Data Lab

Solution Architect integrating Domino software into customer IT landscapes. Collaborating with teams to design and deliver effective data science and AI solutions.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing solution architectures that integrate with customer IT landscapes, focusing on cloud, Kubernetes, and AI/ML tooling. Proven ability to translate complex requirements into actionable solutions while ensuring security and compliance.

Highest-signal resume keywords

Solution Architecture DesignKubernetes DevOps ExperienceCloud Provider Experience (AWS, Azure, GCP)Programming in Python and/or RAPI and Integration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureKubernetesCloud ComputingLinux FundamentalsAPIsCI/CD PipelinesPythonRSecurity ComplianceAI/ML Tooling

Soft Skills

Excellent Communication

Tools & Technologies

EKSAKSGKEDominoSparkHadoopDaskSAMLOIDCKeycloak

Industry Keywords

Enterprise ITConsultingRegulated EnvironmentsIntegration TemplatesReference Architectures

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopKubernetesLinuxPythonSparkTerraform

About the role

Key responsibilities & impact

Design and deliver solution architectures that integrate Domino into customer IT landscapes across infrastructure, data, identity, and security.
Build, test, and document new field integrations with ecosystem technologies, and enable the broader Solutions team on them.
Partner with account and sales-engineering teams on scoping, custom demos, and proofs of concept that address real customer use cases.
Create reproducible, well-tested artifacts — reference architectures, integration templates, runbooks — that improve delivery consistency.
Gather field requirements and feature requests and translate them into actionable input for Product and Engineering.
Continuously grow across cloud, Kubernetes, data, and AI/ML tooling, applying new skills directly in customer solutions.

Requirements

What you’ll need

5+ years professional technical experience, including 1+ year in a client-facing consulting/solutions role.
Proven experience designing and implementing solutions in complex, often regulated, enterprise IT environments.
Hands-on DevOps experience with Kubernetes, including managed offerings (EKS, AKS, GKE).
Experience with at least one major cloud provider (AWS, Azure, GCP).
Strong Linux fundamentals; distributed computing frameworks (Spark, Hadoop, Dask) a plus.
Experience with APIs, integrations, identity providers (SAML/OIDC, Keycloak), and CI/CD pipelines.
Programming experience in Python and/or R (Bash/Terraform a plus).
Ability to translate security and compliance requirements into secure, compliant architectures.
Hands-on AI/ML or data platform experience (Domino or comparable tooling) a strong plus.
Excellent communication: able to explain complex technical concepts to technical and non-technical audiences.

Benefits

Comp & perks

equity
company bonus or sales commissions/bonuses
401(k) plan
medical, dental, and vision benefits
wellness stipends