Top Solutions Architect Jobs

Designs and leads enterprise big data architectures and implementations, including Hadoop-based solutions for diverse business use cases and geospatial data. Responsibilities include operationalizing cross-functional platforms, integrating Active Directory, LDAP, and identity management, and administering, configuring, monitoring, debugging, tuning, and resolving issues across Hadoop ecosystem technologies. The role also applies database, programming, Linux, ETL, and visualization expertise.

Designs and implements enterprise-wide big data architectures and solutions, including Hadoop-based platforms and geospatial data systems. Leads cross-functional implementation and operationalization efforts, with responsibilities spanning configuration, monitoring, debugging, performance tuning, and technical resolution. Integrates Active Directory, LDAP, and identity management systems. Preferred expertise includes broad Hadoop ecosystem technologies, relational databases, programming languages, Informatica, and Tableau.

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.

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 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.

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.

Lead cybersecurity solution visioning, architecture, development, and implementation for federal civilian clients. Translate complex requirements into enterprise security solutions, oversee technical integration and delivery, engage senior government stakeholders, and lead consensus-building discussions. Develop next-generation cyber intellectual capital, support proposals, and expand client relationships. Apply Zero Trust expertise and manage teams across federal IT environments while maintaining required security certifications and clearance.

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.

Leads enterprise solution architecture for DHS capture efforts and active programs. Develops end-to-end architectures, technical strategies, roadmaps, and modernization solutions across cloud, applications, cybersecurity, data, and IT service management. Engages government stakeholders, executives, capture teams, and delivery leaders; evaluates emerging technologies; balances cost, risk, schedule, and feasibility; and guides post-award execution, technical decisions, and transformation initiatives.

Lead Solutions Architecture across complex enterprise sales, customer implementations, renewals, and expansion. Own technical customer relationships, design proofs of concept, resolve pre-sales issues, and partner with Sales, Product, Engineering, Marketing, and Customer Success. Build and coach the Solutions Architecture team, establish operating processes and metrics, identify market trends, influence product roadmaps, and develop executive-level relationships with financial institution and fintech customers.

Drive enterprise sales opportunities for Stripe’s data products as a technical subject matter expert. Architect data warehouse, pipeline, reporting, reconciliation, BI, and ERP integrations; conduct customer discovery; develop reference architectures and reusable enablement assets; resolve complex technical escalations; influence product priorities and roadmap; support forecasts, marketing events, and executive relationships. Partner closely with sales, presales, product, and engineering teams to grow pipeline and revenue.

Leads presales security architecture for enterprise customers, partnering with sales, engineering, and technology vendors. Designs hybrid, multicloud, and AI security strategies; conducts demonstrations, architecture sessions, webinars, and presentations; develops technical collateral, proposals, reference architectures, and proof-of-concept labs. Identifies security opportunities, supports solution selling, coordinates implementations, resolves issues, and maintains customer and stakeholder relationships across the sales cycle.

Lead technical strategy for large enterprise accounts as Databricks’ primary technical voice. Partner with Enterprise Account Executives to guide customers through data and AI transformations, drive Databricks adoption, build technical champions, align solutions with business strategies, and lead virtual account teams. The role requires enterprise pre-sales expertise, executive engagement, value selling, technical leadership, knowledge of big data, cloud, ML and AI, and production programming experience.

Leads enterprise architecture, governance, data strategy, integrations, and adoption of the Palantir platform. Designs scalable data architectures, ontology models, AI-enabled applications, APIs, and enterprise system integrations across ERP, manufacturing, supply chain, finance, and other functions. Establishes development, security, data quality, and compliance standards; mentors technical teams; partners with executives and stakeholders on digital transformation; and supports platform optimization, troubleshooting, and long-term roadmap planning.

Translates business and analytics requirements into technical data architecture specifications and fit-for-purpose solutions. Designs, plans, and guides data integration, modeling, quality, governance, optimization, and analytics platforms across cloud, on-premises, and hybrid environments. Applies software engineering and DevOps practices to automate and improve data flows. Collaborates with IT and business stakeholders, evaluates emerging technologies, manages competing priorities, and supports the evolution of the organization’s data ecosystem.

As a Senior Solutions Architect, lead client implementations, propose technical solutions, support integrations, conduct testing, and drive product evolution at Alloy.

Lead end-to-end cloud architecture for healthcare payer applications across mobile, web, APIs, microservices, and integration systems. Drive Generative AI adoption throughout the SDLC, including coding, testing, reviews, and documentation. Provide hands-on Java, Spring Boot, React Native, and Angular development leadership; collaborate with executives, product managers, engineers, and QA; ensure HIPAA and HITRUST compliance; and develop and defend project estimates and technical architectures.

Develop and enable strategic partners on Alkira and Lumen networking solutions. Responsibilities include partner training, technical solution development for networking and security needs, content creation, event and webinar participation, competitive intelligence, and collaboration with product, engineering, sales, and marketing teams. The role requires strong networking and security expertise, customer- or partner-facing experience, and the ability to communicate complex technical concepts effectively.

Leads architecture, strategy, governance, roadmap planning, and continuous improvement for Five Below’s ServiceNow and broader ITSM ecosystem. Designs scalable ITSM and ITOM solutions, CMDB and service mapping models, integrations, workflows, and support experiences. Translates business needs into technical requirements, guides backlog prioritization, mentors technical teams, establishes platform standards, and ensures maintainability, compliance, data integrity, and operational adoption across enterprise systems.