Senior Data Modeler / Data Architect specializing in Big Data & Hadoop

Join Our Mission to Empower Communities!At GoFundMe, we are the world’s leading platform dedicated to harnessing the power of community to help individuals support one another. Since our inception in 2010, we have facilitated the raising of over $40 billion for various causes, uniting both individuals and nonprofits in a safe and secure environment.We are on the lookout for a Senior Staff Data Platform Architect to become an integral part of our Data Platform team. In this critical role, you will lead the modernization of our existing data platform and architect a scalable data, reporting, and AI ecosystem that not only enhances our product offerings but also meets evolving business needs. Your vision will shape a robust, secure, and future-ready cloud-native data architecture. By establishing best practices, optimizing performance, and collaborating across teams, you will empower GoFundMe to leverage data as a strategic asset for insights, innovation, and sustainable growth.This position is based in the San Francisco Bay Area, with an in-office requirement of 3 times a week.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a

Join Our Mission as a Staff Software EngineerAs a pivotal member of our Data Engineering team at Prosper, we are seeking a talented Enterprise Python Expert. Your primary responsibility will be to enhance our data ecosystem by designing and implementing high-quality software solutions. You will focus on building robust data pipelines and services while optimizing system architecture and ensuring clean, scalable code development within our Google Cloud Platform (GCP) environment.

Join Airwallex as a Principal ArchitectAt Airwallex, we're redefining global payments and financial solutions. Our innovative platform empowers over 200,000 businesses worldwide, including notable names like Brex, Qantas, and SHEIN. We are at the forefront of transforming how businesses manage their financial operations on a global scale.Founded in Melbourne, our diverse team of over 2,000 experts across 26 offices is committed to building the financial platform of the future. With a valuation of $8 billion and backing from prestigious investors such as T. Rowe Price and Visa, we are looking for ambitious individuals ready to make a significant impact.Your RoleThe Knowledge Platform team is integral to our data and AI strategy. As a Principal Architect, you will lead the development of the foundational infrastructure that enables our organization to harness data, AI, and machine learning effectively. You will design platforms that oversee the entire data and AI/ML lifecycle, ensuring safety and governance while simplifying user interfaces.What We ValueWe seek builders with a founder-like spirit who thrive in fast-paced environments. Your expertise and innovative thinking will drive our mission forward. If you are curious, collaborative, and passionate about leveraging AI to solve complex problems, we want to hear from you.

We are seeking an experienced Senior Data Architect to join our innovative team at Oura. In this pivotal role, you will be responsible for designing and implementing robust data architectures that support our mission to deliver cutting-edge health and wellness solutions. As a key player in our data strategy, you will work closely with cross-functional teams to ensure the integrity, security, and accessibility of our data.

About AbridgeFounded in 2018, Abridge is on a mission to revolutionize healthcare understanding through our innovative AI-powered platform. Designed specifically for medical conversations, we enhance clinical documentation efficiency, allowing healthcare professionals to concentrate on what truly matters—their patients.Our cutting-edge technology converts patient-clinician discussions into structured clinical notes in real-time, featuring deep integrations with electronic medical records (EMR). With our unique Linked Evidence and auditable AI, we stand apart as the only company that aligns AI-generated summaries with verified ground truth, ensuring providers can trust and validate our outputs. As trailblazers in generative AI within the healthcare sector, we are setting new benchmarks for the responsible use of AI across health systems.Our dynamic team comprises practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers, all collaborating to empower individuals and enhance the healthcare experience. We have offices in San Francisco’s Mission District, New York’s SoHo neighborhood, and East Liberty in Pittsburgh.The RoleWe are seeking a Staff Product Manager, Data Platform to take charge of our data platform as a product and to establish a comprehensive long-term data strategy across our organization. This pivotal role exists at the crossroads of product management, engineering, machine learning, and data, and entails complete responsibility for the ingestion, storage, querying, and usability of data across various domains.Your responsibilities will extend beyond merely constructing a robust data platform. You must grasp how data serves as a strategic lever in healthcare, directly enhancing clinical workflows, improving customer outcomes, and bolstering machine learning capabilities. Success in this position requires a profound empathy for healthcare use cases and the ability to correlate platform choices with tangible product and customer results.This is a senior, hands-on product management position that requires a strategic thinker who remains closely involved with technical execution. You'll need to balance the pace of rapid experimentation and developer efficiency with the reliability, performance, and scalability integral to a foundational data platform.The data platform is fundamental to nearly every product we develop. In this capacity, you will influence how data is processed throughout the organization, facilitating accelerated innovation while upholding the trust, quality, and compliance standards necessary for healthcare-grade systems. Your decisions will significantly impact product velocity, data quality, and Abridge’s capacity to introduce new product functionalities.

About Juniper SquareJuniper Square is on a mission to democratize private markets by enhancing access to privately owned assets such as commercial real estate, private equity, and venture capital. With these assets representing a significant portion of the financial ecosystem, we are committed to digitizing these markets to foster efficiency, transparency, and wider accessibility. If you are passionate about leveraging technology to create a positive impact in the world, we invite you to join our values-driven organization.At Juniper Square, we embrace diverse work arrangements, offering opportunities for fully remote work or full-time office engagement. With a strong focus on digital-first operations, our teams collaborate seamlessly across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England. We also maintain physical offices in San Francisco, New York City, Mumbai, and Bangalore for those who prefer an in-person work environment.Your RoleWe are looking for a Data Engineering Architect who will spearhead the evolution of our data engineering and analytics functions into a cutting-edge, scalable, and product-centric Data Platform organization. You will be responsible for defining the vision, architecture, operational model, and execution roadmap necessary to transition from traditional project-based data delivery to a self-service, reliable, governed, and analytics-ready data platform across the organization.This is a hands-on leadership position requiring a technical expert who will actively design systems, prototype solutions, review code, and guide teams through intricate challenges. You will be tasked with modernizing our data stack, establishing platform standards, implementing best practices for reliability and governance, and empowering teams to develop data products efficiently and securely.In addition to platform transformation, you will ensure that the data ecosystem provides high-quality analytics and actionable insights. You will architect solutions for data ingestion, processing, modeling, semantic layers, analytics, and AI/ML enablement, ensuring that data is trustworthy, accessible, secure, and high-performing.Collaboration with engineering leadership, product teams, analytics, and executive stakeholders will be vital to align technology strategy with business objectives, mentor engineers, and cultivate a data-driven culture. Success in this role goes beyond delivering a modern platform; it involves enhancing the team's capabilities and fostering an innovative environment.

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

About Discord Discord connects over 200 million people every month, with gaming at the heart of the platform. More than 90% of users participate in gaming activities, spending a combined 1.5 billion hours each month across thousands of games. The team is focused on improving how gamers communicate and share experiences before, during, and after play. Role Overview Discord is hiring a Senior Staff Software Engineer to help build and evolve large-scale data infrastructure. This work supports critical decision-making and directly shapes the experience for millions of gamers worldwide. The Data Platform team is responsible for systems that empower teams across the company and influence technical direction at a broad level. This position is based in San Francisco, CA. What You'll Do Design and develop the next generation of Discord's Data Platform Build systems that improve team productivity and reliability Influence technical strategy across the organization Work on projects that impact millions of global users Navigate ambiguity and solve complex technical challenges Learn More For a deeper look at Discord's Data Platform, visit the engineering blog, including details on how Discord uses open-source tools for scalable data orchestration and transformation.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

Join our dynamic team at Cargomatic as a Senior Data Architect in Data Engineering, where you'll play a pivotal role in designing and constructing scalable, cloud-native data infrastructures. Your work will empower analytics, machine learning, and AI-driven applications that revolutionize the local trucking industry.In this fast-paced environment, you'll leverage your deep expertise in data architecture alongside hands-on experience with modern data platforms and LLM-enabled application development. You will be responsible for leading the design of enterprise-grade data models, architecting RAG systems, implementing agentic workflows, and integrating secure, production-ready LLM capabilities into our ecosystem. This high-impact position offers significant ownership and visibility, allowing you to shape the future of intelligent logistics technology.

Join us in making a difference! GoFundMe is the leading platform for community-driven fundraising, dedicated to empowering individuals and nonprofits to support one another. Since its inception in 2010, our community has successfully raised over $40 billion, making a significant impact on countless lives. We are currently looking for a Senior Staff Software Engineer for our Identity Platform. In this pivotal role, you will be the technical authority responsible for the architecture, scalability, and reliability of our identity platform—the cornerstone on which all product teams, enterprise customers, and internal services rely. Your contributions will directly influence how millions of users engage with GoFundMe and how engineering teams develop identity-dependent functionalities confidently. As a vital technical leader, you will have the opportunity to shape the convergence of consumer and enterprise identity into a cohesive, secure platform, ensuring significant impact for the organization, our engineering teams, and the individuals we serve. If you are passionate about tackling substantial systems problems comprehensively while enhancing trust, personalization, and supporting vital causes, we want to hear from you! This is a hybrid role requiring three days per week in our office. We are only able to consider candidates located in or willing to relocate to San Francisco, CA.

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!

Role overview Chime seeks a Senior Software Engineer for the Data Platform team based in San Francisco, CA. This position centers on building and enhancing the systems behind Chime’s data infrastructure. The work directly supports Chime’s goal of helping members achieve financial peace of mind. What you will do Design, build, and maintain scalable data pipelines that form the backbone of Chime’s data operations Collaborate with colleagues across engineering, product, and analytics to deliver reliable data solutions Help ensure data integrity and strong system performance as Chime’s user base and data needs expand

About Us:At Parafin, our mission is to empower small businesses, the backbone of our economy. Traditional banks often overlook their needs, but we provide technology that simplifies access to essential financial tools directly through the platforms they already use for sales. We collaborate with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody to deliver fast and flexible funding, spend management, and savings tools seamlessly integrated into their services. By handling the complexities of capital markets, underwriting, servicing, compliance, and customer support for our partners, we enable small businesses to thrive.Our team is composed of innovators from top companies including Stripe, Square, Plaid, Coinbase, and Robinhood. Together, we share a passion for developing tools that drive success for small businesses. Backed by notable venture capitalists like GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company that has successfully raised over $194 million in equity and $340 million in debt facilities.Join us in creating a future where every small business has access to the financial resources they need to succeed.About the Position:We are seeking an experienced software engineer to join Parafin’s Infrastructure team and take the lead in developing our next-generation Data Platform. This pivotal role ensures that our data infrastructure remains reliable, scalable, and user-friendly, as we continue enhancing financial services for small businesses.As a Senior Software Engineer, your responsibilities will include designing, building, and maintaining systems for data ingestion, transformation, and delivery across the organization. You will closely collaborate with Data Science, Platform Engineering, and Product Engineering teams to facilitate data-driven product development and informed decision-making.What You’ll Do:Design and construct robust, highly scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS.Enhance the data platform development experience for Engineering, Data Science, and Product teams by creating intuitive abstractions, self-service tools, and comprehensive documentation.Manage and uphold core data pipelines and models that support internal dashboards, machine learning models, and customer-facing products.Oversee the Data & ML platform infrastructure via Terraform, including full administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high reliability.

Join our innovative team at Sonsoft Inc. as a Big Data Architect, where you will play a pivotal role in architecting and implementing cutting-edge data solutions. You will leverage your expertise in big data technologies to design scalable, high-performance data architectures that drive business intelligence and analytics. This is an exciting opportunity to work with state-of-the-art tools and technologies in a collaborative environment.

Senior Manager of Data Platforms & Autonomy Infrastructure San Francisco Bay Area — In Person About Zipline Zipline is pioneering an innovative instant logistics system, utilizing autonomous aircraft to deliver essential and everyday items to individuals precisely when and where they need them. Currently, Zipline boasts the world's largest autonomous delivery network, providing support to healthcare systems, governmental agencies, and commercial partners across various continents. As Zipline expands its operations from tens of thousands to millions of flights daily, the significance of data as core infrastructure cannot be overstated. The mechanisms that determine the data we gather, how we process it, and how teams utilize it directly influence safety, autonomy performance, system uptime, and operational costs. About the Role We are seeking a Senior Manager of Data Platforms & Autonomy Infrastructure to spearhead teams and systems that transform real-world flight data into actionable insights and learning experiences. This pivotal role is responsible for the comprehensive data platform for autonomy and operations, overseeing everything from onboard data logging and ingestion to post-processing, sampling, and the creation of curated datasets utilized by autonomy, hardware, operations, and business teams. The ideal candidate will establish technical direction, build and guide the organization, and ensure the reliability of these systems to accommodate 1 million flights daily with exceptional uptime. This position is particularly suited for leaders who have experience in developing large-scale robotics or autonomy data systems in production environments. This is an in-person position based in the San Francisco Bay Area. Key Responsibilities Set Technical Direction Develop a long-term strategy and roadmap for Zipline’s data, autonomy, and machine learning infrastructure. Establish architectural standards across logging, data ingestion, processing, storage, access/visualization, and machine learning training and evaluation. Balance reliability, performance, cost, and developer productivity across the platform. Support a diverse range of internal stakeholders, including hardware teams, autonomy/software teams, and analytics/business teams. Facilitate Debugging, Learning, and Scalability Enable swift root-cause analysis across autonomy, hardware, and operations.