Senior Architectural Designer

Role Overview Join our innovative team as a Senior Data Engineer focused on Solutions Architecture, where you will architect, develop, and sustain our critical data infrastructure that enhances our renewable energy operations. In this dynamic role, you will bridge the realms of renewable energy and data, creating pipelines that handle various data types, fro…

Join our dynamic team at Cayuse Talent Solutions as an Azure Data Architect. We are seeking a highly skilled professional with a proven history of developing scalable and efficient data platforms on Azure. This role involves leading architectural projects and providing expert guidance on Azure data services.Key Responsibilities:Oversee the architectural design and implementation of various data projects.Act as a Subject Matter Expert (SME) on Azure data services.Design data schemas using Azure Synapse.Establish a secure, scalable, and high-performance Azure environment.Devise comprehensive data platform designs and architectures.Ensure compliance with data governance and access control standards.Translate complex business requirements into actionable data strategies.Guide clients through data workshops to achieve their business objectives.Serve as a trusted advisor to customers.Utilize your knowledge of Big Data architectural patterns to inform decision-making.Work effectively in an agile environment and drive optimization initiatives for the Data Platform.Engage in presales activities with a proven track record.

Join Cloudflare as a Senior Manager of Solutions Architecture focused on our AI and Developer Platform. In this pivotal role, you will lead a team dedicated to designing and implementing innovative solutions that leverage our cutting-edge technology. You will collaborate with cross-functional teams, guiding the strategic direction of our architecture and ensuring seamless integration of AI capabilities into our platform.Your expertise will help shape the future of our offerings, enabling developers to build exceptional applications. If you are passionate about technology, enjoy working in a dynamic environment, and have a track record of leading successful architecture initiatives, we want to hear from you!

Join Shield AI as a Senior Lead Data EngineerAt Shield AI, we are on a mission to safeguard both service members and civilians through the power of intelligent systems. As a leading venture-backed deep-tech company founded in 2015, our innovative products, including the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision product lines, are making a global impact. With operations spanning the U.S., Europe, the Middle East, and Asia-Pacific, our technology is pivotal in supporting missions worldwide.As a Senior Lead Data Engineer, you will play a crucial role in developing a cutting-edge financial enterprise reporting and analytics platform for our complex, R&D-intensive, multi-billion-dollar organization. Your responsibilities will encompass architecting and implementing secure, scalable, and cost-efficient data systems within Microsoft Fabric, enhancing Finance, FP&A, Accounting, Program Management, and Executive reporting.This position transcends traditional ETL development. You will take charge of cloud architecture decisions, establish data modeling standards, integrate advanced analytics readiness into the platform, and ensure our systems are designed with auditability, governance, and scalability in mind. Collaborating within a lean team, you will bridge engineering, analytics, and applied data science to drive significant impact.Your efforts will establish the foundation of a mission-critical analytics platform that informs executive decision-making, improves forecast accuracy, ensures compliance reporting, and facilitates scalable AI adoption. The impact of your work will resonate throughout the organization, directly influencing cost control, capital allocation, and operational insight.

Join Mixpanel as a Senior Engineering Manager focused on Data Solutions! In this pivotal role, you will lead a talented team of engineers in designing and implementing innovative data solutions that empower organizations to make data-driven decisions. You will be instrumental in shaping our engineering practices, driving technical excellence, and fostering a culture of collaboration and continuous improvement.As a Senior Engineering Manager, you will collaborate with cross-functional teams to define strategic goals and ensure alignment with product and engineering objectives. Your leadership will guide the team in delivering high-quality data products while mentoring and developing engineers to reach their full potential.

Join Our Team as a Senior Solutions EngineerLocation: San Francisco, CAAbout UsAt Metriport, we are revolutionizing healthcare data management with our open-source data intelligence platform. We empower healthcare organizations to access and exchange patient data in real-time, seamlessly integrating with all major US healthcare IT systems. Our comprehensive medical data repository serves over 300 million individuals.We have achieved product-market fit with a multi-million ARR and a growing base of over 100 customers, including notable names like Strive Health, Circle Medical, and Brightside Health. Backed by leading venture capitalists, we are poised for significant growth. Our close-knit, high-achieving team, comprised primarily of former founders (including two Y Combinator alumni), operates with minimal bureaucracy, high autonomy, and a commitment to excellence. While our founders dedicate six days a week in our San Francisco office, we encourage flexibility in scheduling to ensure a sustainable work-life balance.Your ProfileWe are seeking a Solutions Engineer who embodies the following qualities:An entrepreneurial spirit with a strong work ethic, reflecting the mindset of our engineering team.A knack for building lasting customer relationships and providing invaluable technical insights.A problem-solver who takes ownership of their work, regardless of domain expertise.A focus on delivering customer value over the latest technological trends.A proactive attitude that challenges project timelines and seeks efficiency.A hacker mentality with a clear understanding of when to follow or bend the rules.Your ResponsibilitiesYou will quickly become familiar with our domain and codebase through our comprehensive onboarding process, allowing you to engage with customers promptly. Your daily activities will include:Acting as the primary contact for customers throughout their journey with us.Conducting discovery sessions and gathering requirements to tailor our solutions effectively.

Join Lever's dynamic go-to-market team as a Senior Solutions Engineer, where your expertise will directly influence our customer's analytics and business intelligence workflows. In this pivotal role, you will collaborate closely with the sales, product, and customer success teams to ensure a seamless integration of the Sisu platform into our client’s operations. Your responsibilities will include establishing technical pre-sales relationships, designing innovative technical architectures, and crafting tailored solutions to complex challenges.As a vital link between Sales and Product, your insights will drive the evolution of our operational analytics platform. You will provide valuable feedback to the Product and Marketing teams, shaping the future roadmap and go-to-market strategies. This position offers the unique opportunity to leverage your analytical and data science expertise while engaging in creative brainstorming sessions with customers to tackle demanding problems.Within our compact and agile team, you will not only engage with clients but also participate in mentoring new team members, presenting at various events, and contributing to content that reaches a global audience.

Join Stripe as the Enterprise Solutions Architecture Manager for the AMER region, where you will lead a dynamic team dedicated to delivering cutting-edge solutions to our enterprise clients. You will work closely with cross-functional teams to define architecture strategies, ensure high-quality implementations, and drive customer success.

Role overview Oura Health seeks a Senior Data Engineer for its Data & ML Platform team. This hybrid role is based in San Francisco, California. The focus is on designing and building data solutions that enable machine learning projects and enhance analytics across the company. What you will do Create and maintain data architecture to support analytics and machine learning efforts Develop and refine ETL processes and data pipelines Work closely with teams throughout Oura Health to strengthen data-driven decision making Handle data modeling and data warehousing to ensure systems scale and perform reliably Requirements Proven experience building and maintaining data platforms for analytics and machine learning Strong background in data modeling, ETL, and data warehousing Interest in health technology and a desire to create impact through data Comfort working with cross-functional teams

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.

Join Our TeamAbout StripeStripe is a leading financial infrastructure platform that empowers businesses globally. From Fortune 500 companies to innovative startups, millions of businesses leverage Stripe to streamline payments, boost revenue, and unlock new growth opportunities. Our mission is to enhance the GDP of the internet, and we are committed to making the global economy accessible to all while you embark on a fulfilling career journey.About The TeamOur Solutions Architects team strives to be trusted allies to Stripe's customers and partners, as well as our internal product and engineering teams. We concentrate on understanding customer needs and assisting them in realizing their business objectives through our comprehensive suite of revenue management solutions. The team fosters a shared vision, emphasizes joint accountability, and prioritizes enduring success for our clients, recognizing that every success contributes to the growth of the internet economy and Stripe's advancement.Your RoleAs the leader of a specialized team of Solutions Architects, you will play a pivotal role in shaping Stripe's trajectory. You will oversee the strategic leadership and management of the Revenue Suite Solutions Architects team, emphasizing our billing, tax, and revenue recognition solutions. This position merges in-depth product knowledge with global leadership, enabling you to drive Stripe's success across diverse markets.

FEQ127R13 We invite exceptionally qualified candidates from various locations on the East Coast to apply for this exciting opportunity. Mission As a Senior Solutions Architect at Databricks, you will play a pivotal role in advancing the Databricks Data Intelligence Platform. Our team is well-versed in cloud technologies, data engineering, analytics, data science, machine learning, and AI. You will leverage open source projects like Apache Spark™, Delta Lake, and MLflow to enhance your expertise and contribute to the success of our customers. This is a customer-facing position where you will collaborate with clients, team members, product teams, post-sales support, and partners to identify use cases, develop architecture and solutions, and guide customers through successful implementations, leading to impactful business outcomes. Building strong relationships with customers, nurturing champions, and establishing yourself as a trusted advisor will be key aspects of your role. You will report to a Field Engineering Manager within our Financial Services team. Your Impact: Collaborate with the sales team to demonstrate how Databricks can address customer challenges. Provide technical leadership to clients in evaluating and adopting Databricks. Consult on big data architecture, execute proof of concepts for strategic projects, and validate integrations with cloud services and third-party applications. Create and present reference architectures, how-tos, and application demonstrations for clients. Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) within developer communities through meetups, conferences, and webinars. Travel to meet customers in your designated territory. What We Are Looking For: 10+ years in a customer-facing pre-sales or consulting role, ideally with big data technologies addressing data engineering and analytics challenges. Proven experience in designing and architecting distributed data systems. Proficient in programming and debugging in at least one of the following: Python, SQL, Scala, Java, or R. Experience with global system integrators, consulting firms, or technology providers in the financial services sector is a plus. Hands-on experience building solutions with major public cloud providers like AWS, Azure, or GCP. Familiarity with Data Engineering technologies such as Spark, Hadoop, or Kafka.

Join us in constructing the data infrastructure that empowers robots to operate seamlessly in the real world.As robotics transitions from research environments into practical applications within factories, warehouses, vehicles, and other deployments, the need for reliable data becomes critical. Engineers must analyze data when robots malfunction, behave unpredictably, or require enhancements.At Foxglove, we provide the observability, visualization, and data infrastructure necessary for this analysis. Our innovative tools support robotics and autonomous systems teams in processing, storing, querying, replaying, and analyzing vast amounts of multimodal sensor data from both live systems and production fleets.About the RoleWe are seeking a Data Infrastructure Solutions Engineer to facilitate the integration of Foxglove into our clients' large-scale data ecosystems. Collaborating with engineering teams across diverse stacks and frameworks, you will design efficient data ingestion and storage workflows, troubleshoot complex performance challenges, and ensure dependable data interoperability on a large scale.This position is perfect for individuals passionate about connecting intricate technical systems with the practical needs of customers. Your insights and expertise will play a pivotal role in shaping the evolution of Foxglove to better support data-driven growth within the robotics and autonomy landscape.Key ResponsibilitiesTechnical Solution Design: Work with customer engineering teams to assess their data architecture and craft scalable ingestion, storage, and visualization workflows that meet their specific systems and requirements.Demonstrations and Evaluations: Create and present technical demonstrations and proof-of-concept projects that replicate real-world data pipelines, illustrating how Foxglove integrates with current infrastructure and tools.Onboarding and Integration: Assist customers from initial setup through to production deployment, ensuring smooth data flow between their systems and Foxglove for optimal performance.Problem-Solving and Troubleshooting: Identify and resolve complex data-related issues, performance bottlenecks, and interoperability challenges during evaluations and initial deployments, collaborating closely with both client and internal engineering teams.Product Feedback: Share structured insights and feature suggestions with Foxglove’s product team based on direct technical interactions and practical data infrastructure applications.Collaboration with Sales: Act as the technical liaison in sales engagements, providing expertise to help illustrate Foxglove's value proposition.

Join Cloudflare as a Senior Solutions Engineer, where you will be at the forefront of delivering cutting-edge solutions to our clients. In this role, you will leverage your technical expertise to engage with customers, understand their needs, and provide innovative solutions that drive their success.As a Senior Solutions Engineer, you will collaborate with cross-functional teams to create tailored solutions, ensuring our products meet the unique requirements of each client. Your ability to articulate complex concepts and foster relationships will be crucial in this fast-paced, dynamic environment.

Role overview The Senior Solutions Architect at Klaviyo in San Francisco, CA plays a key part in helping clients maximize the value of Klaviyo’s marketing platform. The role centers on designing and implementing solutions that fit each client’s needs. Collaboration with teams across the company ensures that integrations are seamless and workflows are effective. What you will do Create scalable solutions based on specific client requirements Implement integrations connecting Klaviyo’s platform with client systems Collaborate with teams from different functions to align technical work with business objectives Support clients in refining workflows and improving their overall user experience

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

At Stytch, we are transforming the landscape of user authentication and anti-fraud tools, empowering developers to create intricate authentication systems with ease and speed. Our mission is to simplify complex processes and enhance security for our clients.We are seeking a seasoned Solutions Engineer who excels in educating and solving problems, while building strong relationships with developers from leading companies. In this pivotal role, you will assess our clients' needs, articulate design solutions, and guide technical assessments. As the authentication expert, you will work closely with our customers’ engineering teams to ensure a seamless evaluation experience.This is a hybrid, full-time role based in the San Francisco Bay Area. While we value in-person collaboration, we understand the importance of flexibility, so we're looking for someone who is eager to meet in the office 2-3 days a week.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.

Join Databricks as a Senior Solutions Architect within our Field Engineering organization, where you will collaborate with customers to craft scalable data architectures utilizing Databricks technologies and services. Your technical expertise and business acumen will empower you to facilitate complex technology discussions that highlight the benefits of the Databricks platform throughout the sales process. Working alongside our Account Executives, you will engage with technical leaders, including architects, engineers, and operations teams, positioning yourself as a trusted advisor to drive meaningful outcomes. You will also liaise with teams across Databricks and our executive leadership to advocate for customer needs, nurture valuable engagements, and report back to the Field Engineering Manager.The impact you will have:Collaborate with Sales and key partners to formulate account strategies aimed at increasing platform adoption among your assigned accounts.Establish the Databricks Lakehouse architecture as the go-to data architecture for clients through exemplary technical account planning.Create and present reference architectures and demo applications to potential clients, demonstrating how Databricks can help them achieve their objectives, thereby attracting new users and use cases.Secure technical wins by advising on big data architectures, data engineering pipelines, and data science/machine learning initiatives; validate the Databricks technology for critical customer projects and ensure seamless integration with cloud services and other third-party applications.Become a specialist and advocate for Databricks-inspired open-source projects (such as Spark, Delta Lake, MLflow, and Koalas) in developer communities via meetups, conferences, and webinars.