Top Remote Solutions Architect Jobs

Design and own end-to-end Adobe Experience Cloud architectures (AEM, AEP, Real-Time CDP, AJO, CJA). Translate business objectives into scalable solutions, create data models, identity and consent frameworks, and integration blueprints. Advise clients, lead discovery workshops, drive AI/personalization strategies, ensure governance and compliance, and mentor delivery teams throughout implementation.

Own strategic enterprise customer deployments from technical evaluation through production adoption. Lead cloud and network architecture, design hybrid and public cloud solutions, and build automation using infrastructure-as-code, APIs, and scripting. Conduct technical workshops, provide troubleshooting and support, drive customer adoption and expansion, and collaborate with Product Management and Engineering to influence the roadmap and resolve customer needs.

The Workforce Management Solutions Architect leads design and delivery of scheduling and forecasting. They partner across teams, optimize WFM platforms, and ensure accurate functional delivery, enhancing organizational efficiency.

Partners with Sales to support technically complex enterprise deals, advising customers on APIs, integrations, Shopify architecture, and e-commerce solutions. Designs scalable integrations with ERPs, CRMs, and custom workflows; creates demos, proofs of concept, and prototypes; leads technical onboarding; troubleshoots implementations; documents solution designs; coordinates across Sales, Product, Engineering, Operations, and Customer Success; and provides structured product feedback.

Design, integrate, and deploy large-scale AI/HPC GPU infrastructure with NVIDIA Cloud Partners. Drive technical engagements across the customer lifecycle, build PoCs, troubleshoot performance and scaling, and deliver technical content and workshops.

Leads complex cybersecurity and compliance pre-sales pursuits from discovery through close. Advises strategic clients, designs solutions spanning compliance, cloud, security, and operating models, and develops scopes, proposals, pricing, roadmaps, and technical validation materials. Coordinates sales, delivery, finance, product, executive, and partner stakeholders while governing scope, risks, dependencies, and commercial integrity. Contributes to thought leadership, market development, cross-selling, and new solution offerings. Travel is approximately 25–35%.

Lead enterprise AI solution architecture across reusable capabilities, defining engineering patterns, integration designs, deployment strategies, security controls, monitoring, lifecycle management, and technical standards. Partner with application, platform, infrastructure, data, DevOps, security, and delivery teams. Contribute hands-on to proof-of-concepts and production AI solutions while guiding technology adoption and enterprise AI roadmap decisions.

Designs and implements Salesforce environments supporting multi-product release, regression, and performance testing. Defines sandbox strategy, metadata configuration, refresh processes, integrations, data sharing, test data, and onboarding sequences. Troubleshoots performance and metadata issues while ensuring compliance with VA security, federal, GovCloud, and FedRAMP requirements. Collaborates with federal clients, product teams, testing teams, infrastructure stakeholders, and governance groups to translate requirements into hands-on Salesforce solutions.

Designs and deploys Pentera’s security validation platform in complex enterprise environments, leads penetration-testing and remediation deep dives, advises customers on threats and attack techniques, educates users, supports adoption and expansion, and relays customer feedback to Product, R&D, and Support teams.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, guide production deployments, and drive Databricks adoption. Advise senior technical stakeholders, lead architecture and coding demonstrations, build competitive solutions, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, conduct architecture discussions, drive Databricks adoption and consumption growth, and serve as a trusted advisor to senior technical stakeholders. The role includes developing technical specialization, orchestrating cross-functional resources, building custom competitive solutions, influencing product direction, and demonstrating coding, design, and presentation skills throughout the interview process.

Lead technical strategy for customer accounts by designing scalable data, AI, machine learning, streaming, and real-time analytics solutions. Conduct architecture discussions, whiteboarding, design reviews, and live coding; advise senior technical stakeholders; drive Databricks adoption and consumption; coordinate cross-functional resources; demonstrate solutions in competitive situations; and provide product feedback. Requires strong Python and SQL skills, public-cloud deployment experience, and expertise in distributed data systems.

Lead technical strategy for customer accounts, including architecture discussions, production-grade data and AI solutions, platform adoption, and consumption growth. Advise senior technical stakeholders, build custom competitive solutions, coordinate cross-functional resources, develop a technical specialization, and influence product direction through customer feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, communication skills, and 30% customer travel.

Own end-to-end technical strategy for customer accounts, lead architecture discussions, design scalable data and AI solutions, drive Databricks adoption, and advise senior technical stakeholders. Build custom solutions for competitive opportunities, develop a technical specialization, coordinate cross-functional resources, and influence product direction through customer feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and 30% customer travel.

Lead technical strategy for customer accounts, design scalable data, AI, streaming, and analytics architectures, and guide production deployments. Serve as a trusted advisor to senior technical stakeholders, drive Databricks adoption and competitive technical wins, coordinate cross-functional resources, develop a technical specialization, and influence product direction through customer feedback. The role requires strong Python and SQL coding, cloud experience, communication skills, and 30% customer travel.

Lead complex enterprise customer engagements as a senior technical authority for Databricks solutions. Drive platform adoption, consumption, and revenue growth; advise executives on data and AI strategy; design large-scale data, streaming, migration, and AI/ML architectures; lead competitive evaluations; coordinate cross-functional teams; mentor solutions architects; and contribute to technical thought leadership. Travel to customers approximately 30% of the time.

Lead end-to-end technical strategy for customer accounts, designing scalable data, AI, machine learning, streaming, and real-time analytics solutions. Advise senior technical stakeholders, drive Databricks adoption and consumption, lead architecture discussions, build custom solutions for competitive opportunities, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.

Lead technical strategy for customer accounts by designing scalable data, AI, streaming, and real-time analytics architectures. Advise senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, develop technical specialization, and influence product direction. The role includes architecture discussions, production deployment guidance, live coding, solution building, design presentations, and customer-facing technical communication.

Lead technical strategy for Databricks customers from discovery through production deployment and growth. Design scalable data engineering, machine learning, AI, streaming, real-time analytics, and lakehouse solutions. Advise senior technical stakeholders, lead architecture discussions, demonstrate competitive differentiation, coordinate cross-functional resources, drive platform adoption, and provide product feedback. The role requires Python and SQL coding, public-cloud deployment experience, strong communication, and 30% customer travel.

Leads end-to-end technical strategy for customer accounts, designing scalable data engineering, AI/ML, streaming, and real-time analytics solutions on Databricks. Advises senior technical stakeholders, drives platform adoption and consumption growth, leads architecture and design discussions, builds competitive demonstrations, coordinates cross-functional resources, and provides product feedback. Requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent communication skills.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments. Designs scalable solutions across data engineering, machine learning, AI, real-time analytics, distributed data systems, streaming, lakehouse architectures, and cloud platforms. Advises senior technical stakeholders, drives competitive technical wins, coordinates cross-functional resources, develops technical specialization, and influences product direction through customer feedback.

Lead end-to-end technical strategy for customer accounts, including architecture discussions, scalable data and AI solution design, production deployment, platform adoption, and consumption growth. Advise senior technical stakeholders, demonstrate competitive differentiation, coordinate cross-functional resources, develop a technical specialization, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent technical communication.

Build and own Alkami’s next-generation sales demo tooling across front-end and back-end systems. Partner with Sales Engineering, Sales Leadership, Product, and Engineering to identify gaps, develop API- and SDK-based tools, evaluate technical stacks, and improve sales win rates. Provide technical expertise during complex financial-services deals, coach Sales Engineers, communicate technical value to senior stakeholders, and champion AI-assisted development workflows.

Provide technical pre-sales support to account teams across the sales cycle, drive device integration and testing, present technical briefings, coordinate engineering support, give product feedback, and support North American sales. Remote role requiring up to 75% travel and eligible for sales incentives.

Lead customer-facing, hands-on implementations using Retool: build full-stack apps, integrate with enterprise systems, advise partners, scope and deliver professional services, enable partners, and drive strategic initiatives to scale the practice.