Solution Architect jobs in United States, California, San Francisco
MongoDB Senior Solutions Architect United States, California, San Francisco
Share
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
These jobs might be a good fit
Unity Senior Architect Adaptive Planning Workday United States, California, San Francisco
Share
- Lead the design of complex, scalable Adaptive Planning solutions, ensuring data integrity and seamless information flow.
- Lead the technical solutioning for all major FP&A initiatives, from initial discovery and design through to implementation and post-production support.
- Take ownership of and provide hands-on, on-site support for urgent and business-critical production issues, ensuring swift resolution and minimal business disruption. Lead a junior engineer with day-to-day operations and issue resolution.
- Translate complex business requirements into technical specifications and model architecture, ensuring alignment with overall business strategy. Continuously identify opportunities for process improvements and tool optimization for the FP&A and other business teams.
- Serve as a subject matter expert for business stakeholders, troubleshooting process and technical issues in a timely manner, with a focus on upholding best practices.
- Extensive Adaptive experience, including hands-on experience designing, building and maintaining Adaptive Planning models with a proven portfolio of successfully architected and delivered large-scale, high-impact Adaptive Planning projects.
- Deep expertise in data modeling, system integration, and performance optimization within a sophisticated enterprise environment.
- Strong sense of ownership and accountability with the ability to operate at a high degree of autonomy in a fast-paced, dynamic setting.
- Excellent communication skills with the ability to break down complex requirements and explain complex technical designs and trade-offs to diverse audiences
- A strong desire to learn and be curious with new technologies, including opportunities with AI.
- Adaptive Planning Certification
- Background/experience in Financial Planning and Analysis
- Knowledge of LLM and proven experience with implementation of AI features in finance systems/processes
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$210,000 USDThese jobs might be a good fit
PayPal Principal Distinguished Experience Architect United States, California, San Jose
Share
Essential Responsibilities:
- Establish overall business or technical strategy for user experience initiatives.
- Negotiate with and influence decision-making reaching the senior executive level
- Identify and resolve unique situations of substantial significance in user interface or interaction design
- Allocate resources, responsibly and apply creativity to enhancing user and customer experiences across digital and physical products and services
- Lead the development of user experience strategies that resonate with target audiences.
- Support and mentor less-experienced roles to provide an example of innovation, excellence, and day-to-day learning
Expected Qualifications:
- 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Additional Responsibilities & Preferred Qualifications
WhereExperience Strategydefines theand
This is not just a UX strategy or systems design role—it’s both. You will lead the practice of Experience Architecture: the structuring of journeys, flows, navigation, taxonomy, and interaction models into a unified, extensible system. Your work will ensure that every interaction fits together to form a complete, coherent whole—one that reflects our brand, reinforces behavior, and reduces experience entropy as we scale.
Key Responsibilities
Architect the Experience Ecosystem
Lead Horizontal Experience Strategy
Architect critical cross-product journeys (e.g., Account, Wallet, Rewards) that unify the customer experience across silos.Own and Govern Taxonomy & Information Architecture
Partner with Content Design, Product Design, and Engineering to establish scalable IA systems and navigational models.Advance Service Design & System Mapping
Connect frontstage flows to backstage systems and operational logic; drive service blueprinting across the product lifecycle.Drive CX Improvements
Identify and resolve systemic customer experience issues across surfaces, workflows, and product areas through architectural interventions—not just interface refinements.Partner with Design Systems
Collaborate to encode architectural logic into reusable components and interaction frameworks, ensuring real behavior is reflected—not just UI consistency.Transform Experience Delivery
Work with Product Ops and PMO to embed architectural checkpoints into planning, roadmapping, and SDLCprocesses—acceleratingdelivery while protecting experience integrity.
Qualifications
12+ years of experience in experience design, UX architecture, or systems design, with a strong portfolio demonstrating strategic impact.
Proven leadership in structuring complex digital ecosystems and scaling design systems.
Deep expertise in journey mapping, taxonomy design, interaction modeling, and platform strategy.
Exceptional communication and storytelling skills, with the ability to influence across disciplines and levels.
Experience working in large-scale, matrixed organizations with a focus on platform thinking and design maturity.
Preferred Skills
Experience with enterprise platforms, developer tools, or internal design infrastructure.
Familiarity with accessibility standards, localization, and inclusive design practices.
Strategic mindset with a bias for action and a passion for enabling great design at scale.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
These jobs might be a good fit
Google Data Center Design Architect United States, California, San Francisco
Share
- Bachelor’s degree in Architectural Engineering with a focus on Structural Engineering, or equivalent practical experience.
- 12 years of experience in the design and construction of mission-critical facilities.
- 5 years of experience utilizing digital design tools such as AutoCAD, REVIT/BIM, and Navisworks.
- 5 years of experience with cross-functional disciplines (e.g., Mechanical, Electrical).
- 5 years of experience in collaborating with external construction management, architecture, and engineering firms.
Preferred qualifications:
- Registered Architect (RA) or Structural Engineer (SE/PE) License.
- Experience in developing and deploying global design standards and specifications for a large, geographically dispersed portfolio.
- Experience in managing design/drafting processes and document control throughout the project life-cycle.
- Knowledge of relevant industry codes and standards, including the International Building Code (IBC), LEED, and NFPA 101.
- Excellent executive-level presentations, communication, and teamwork skills.
These jobs might be a good fit
Amazon Integration Solutions Architect eero United States, California, San Francisco
Share
eero is seeking a Senior Solutions Architect to drive integration and implementation of technical solutions and cloud architecture for the management of our mesh WiFi analytics platform. This role combines deep cloud expertise with networking knowledge to design and implement scalable solutions for our customers and B2B partners. You'll work at the intersection of cloud infrastructure, systems engineering, and wifi to deliver exceptional customer experiences for our growing list of partners.
Key job responsibilities
- Design and architect cloud-based solutions utilizing AWS services to support eero's cloud-based management platform
- Provide technical guidance on eero’s cloud architecture
- Build automation solutions for deployment, monitoring, and analytics
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Hands-on experience with AWS or other cloud services and cloud architecture
- Programming experience in Python, Java, Scala or similar languages
Preferred Qualifications
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Amazon Senior Solutions Architect United States, California, San Francisco
Share
Why This Role* Deep technical expertise (still hands-on)
* Scalable mechanism design (programs, frameworks, enablement)
* Startup empathy (credible in front of developers and co-founders)
* AI/data native perspective (helping startups turn data into their moat)This role offers the chance to shape how AWS engages startups at scale — while working at the frontier of cloud + data + AI innovation.
Key job responsibilities
Technical Leadership & Mechanism Building* Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
* Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
* Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
* Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.Principal SAs for Startups should have depth and expertise in one of the following technical domains, but the technical curiosity to become proficient in all:* ML/AI Infrastructure:
* Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
* Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
* Build and optimize model serving architectures and inference systems for cost and latency.
* Cloud Native & Kubernetes:
* Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
* Ensure security, compliance, and observability in containerized workloads.
* DevOps & Reliability:
* Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
* Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
* Data Strategy & Foundations:
* Advise startups on proprietary data strategy as a moat: collection, quality, labeling, governance.
* Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
* Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
* Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).* Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
* Translate insights into actionable guidance for startups and scalable mechanisms for the org.
* Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.Scaling & Developer Enablement* Build repeatable solutions and reference architectures addressing common startup pain points.
* Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
* Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
- Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
- Technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
- Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.
Preferred Qualifications
- Experience building, deploying, and operating systems and infrastructure at hyperscale.
- Contributions to open-source or developer communities.
- A portfolio of technical publications, talks, or thought leadership.
- The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Amazon Sr Startup Solutions Architect Web3 United States, California, San Francisco
Share
As a Solutions Architect, you will be a key technical leader and trusted advisor for our startup customers, helping them architect, design, and build scalable, reliable, and cost-effective solutions on the AWS platform. You'll collaborate closely with customers technical and business leadership, understanding their business goals, technical requirements, and challenges to craft optimal cloud-based solutions that drive innovation and accelerate time-to-market for their products.Key job responsibilities
-Work closely with startup customers to understand their technical requirements, business objectives, and growth plans, and then architect AWS-based solutions that align with their goals.
-Lead technical discussions, present best practices, and guide startups on AWS architecture, services, and solutions to ensure scalability, performance, and cost-effectiveness.-Participate in workshops, webinars, and events to evangelize AWS solutions for startups and contribute to the growth of the AWS startup ecosystem.A day in the life
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience building/implementing/designing Web3 architectures. Understanding concepts of Web3, Blockchain, DeFi, Smart Contracts or Decentralized Apps.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
These jobs might be a good fit
Share
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
- Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
MongoDB Product Suite Mastery
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
Market-Relevant Technologies
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
Modern Architecture Design
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
Sales Techniques and Soft Skills
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
Industry Insights
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
These jobs might be a good fit
