Top Solutions Architect Jobs in Austin, TX

Lead customer engagements and pre-sales for Databricks-based data platforms. Architect and deliver end-to-end data engineering solutions supporting BI, ML/AI, and analytics; manage multiple accounts, mentor teams, ensure data quality, governance, and production readiness, and produce technical documentation and presentations.

Support design and documentation of cloud and on-premises data solutions; translate mission needs into technical requirements; create architecture diagrams and technical materials; research technologies; participate in discovery and design discussions; collaborate with engineers to align implementations; communicate clearly to technical and nontechnical stakeholders while supporting a federal health data modernization mission.

Design scalable hybrid/cloud data platform solutions for a federal health modernization initiative. Translate mission, data, security, and operational requirements into architectures, integration patterns, and documentation. Support Databricks and multicloud deployments, integrate legacy and modern systems via APIs and pipelines, collaborate with engineers and stakeholders, and enforce governance, security, and operational standards.

Design and deliver scalable, secure data platforms and architectures (Databricks/cloud) for customers. Split time between billable and pre-sales, lead solution design, mentor teams, ensure data governance and security, validate ETL/data pipelines, produce documentation and presentations, and manage multiple customer accounts to deliver production-ready data solutions.

Research and develop GPU-acceleration techniques for high-performance databases, ETL, and data analytics applications. Analyze data-intensive workloads, optimize algorithms, memory management, and CUDA kernels, and investigate CPU/GPU bottlenecks. Collaborate with research, hardware, software, and industry teams to influence next-generation architectures, programming models, and data-processing solutions.

Define and lead cloud and platform architecture for scalable, secure, cost‑efficient cloud-hosted applications. Oversee shared platform capabilities, review solution designs, embed security and governance, design data and integration platforms, lead migrations and modernization, set observability and resilience patterns, and provide technical leadership and mentorship to engineering and SRE teams.

The Solutions Architect will lead customer onboarding, manage technical integrations, work closely with various teams to optimize processes, and deliver high-quality project outcomes.

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

Define and lead end-to-end cloud application and platform architecture, ensuring scalability, security, reliability, and cost efficiency. Partner with engineering, security, data, and product teams to design shared platform capabilities, data and integration patterns, governance, observability, and migration/modernization roadmaps. Provide technical leadership and mentor engineers and SREs.

Lead technical authority for mainframe modernization: assess legacy environments, design modernization architectures (rehost/refactor/cloud/API enablement), run z/OS/DB2/CICS operations and troubleshooting, plan and execute migrations, integrate DoD security controls, mentor engineers, and produce operational documentation and migration playbooks for DISA/DoD customers.

Lead the design and governance of an enterprise data platform, ensuring it is secure and AI-ready through architecture, data engineering, compliance, and performance optimization.

The Solution Architect collaborates with sales to understand customer needs, design technical solutions, and ensure successful deployment and integration of AI solutions.

Lead portfolio-level solution architecture: design reusable solution patterns and frameworks, guide development teams across the SDLC, drive technical strategy and roadmaps, perform feasibility research and POCs, mentor developers, and ensure solutions meet security, reliability, and business needs within the financial services/insurance context.

Lead design and delivery of federal software solutions; support capture and proposal efforts; author technical volumes; ensure compliance with NIST/FedRAMP/FISMA/Section 508; build reusable solution patterns; write maintainable code and establish engineering practices.

Design and document scalable TFC platform architectures, create reference architectures and reusable templates, support RFIs/RFPs and internal pre-sales, translate business requirements into actionable designs, document integrations and interfaces, and contribute to post-project reviews to improve solution design processes.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.

The VMware Cloud Foundation Infrastructure Architect leads client consulting projects, focusing on planning, deploying, and managing VMware Cloud Foundation solutions, alongside mentoring consultants on VCF solutions.

The Solutions Architect will lead VAST Data's strategy with Microsoft Azure, designing solutions and collaborating with engineering teams to optimize offerings, ensuring readiness and innovation for AI, ML, and enterprise workloads.

The Solutions Architect will act as the primary technical point of contact for government clients, responsible for pre-sales engagements, delivering demos, maintaining demo environments, and architecting customer solutions.

The Senior HPA Architect will lead architecture for AI Factory environments, focusing on complex GPU infrastructure solutions and business outcomes, while mentoring team architects and engaging C-suite stakeholders.

The Senior Solutions Architect leads technical architecture, oversees customer integrations, and collaborates with various teams to enhance the Cresta platform's enterprise integration.

As a Pre/Post Sales Solutions Architect, you will demonstrate Gremlin's reliability solutions to customers, consult on architectures, and engage in technical projects while collaborating with internal teams.

Design and deliver technical solutions for small-to-medium projects, gather customer requirements, create POCs, ensure scalability and security, collaborate with sales and delivery teams, troubleshoot issues, document designs, and participate in training and knowledge sharing.

Leads technical solution architecture for public safety and enterprise deployments. Integrates systems engineering, business, personnel, and program elements; aligns customer requirements with solutions; makes and defends technical decisions; manages change processes; coordinates third-party application implementations; identifies technical risks; and supports project cost and schedule planning. Collaborates with project managers, customers, engineering teams, application specialists, and pre- and post-sales teams.