Knowledge And Data Architect Jobs

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a highly experienced Staff Software Engineer with a strong Java background to join our Letter of Authorisation (LOA) team! We’re building a system that can self-service onboarding of held-away accounts for enterprise clients. This new system will be built on our application framework with cloud-native architecture principles. We’re looking for an experienced, detail-oriented Engineering Leader who will build an inclusive team culture, empower engineers to succeed and foster an environment that creates high quality engineering processes and product delivery. You are passionate about technology and can amplify your technical knowledge via your team. You’ll work closely with our product and design teams to deliver great products for our clients. Our engineering team primarily works in Java, Python and React, a strong Java experience with any of the additional skills would help succeed in the role. We use Agile methodologies to deliver impactful business outcomes. What You’ll Do Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code. Lead individual project priorities, deadlines, and solutions. Collaborate effectively with product manager

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Staff Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workfl

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Senior Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workf

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. B

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! With your passion to learn about the cloud, you are excited to help build the Cloud Native management interfaces of an already Cloud Native Database platform. You will join a team of experienced engineers who are defining what it means to be a cloud native database platform, and you will contribute directly to the components and integrations that make it happen. With guidance from senior engineers, you will deepen your knowledge of the Cloud Native ecosystem, including Kubernetes, observability and automation tooling, and help bring Couchbase everywhere it can add value. You will have opportunities to contribute to Open Source Cloud Native projects and grow your presence in those communities. In doing so, you will help Couchbase continue to gather users, deployments and customers in the constantly growing

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation

Job ID: 111269 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Build and own features end-to-end from product specs through deployment and maintenance, ensuring high quality at every stage. Drive frontend architecture for modern web applications using React, TypeScript, and/or Next.js. Collaborate cross-functionally to integrate emerging technologies into our evolving infrastructure. Shape the roadmap by contributing technical perspective on architecture decisions and business priorities. Write maintainable code with comprehensive testing, clear documentation, and thoughtful design. Mentor through code reviews that prioritize both quality and knowledge sharing. Support your team through pairing, healthy technical debates, and a culture of mutual growth. Interface with stakeholders to gather requirements, communicate progress, and respond to technical questions. Experience: Education and Experience: Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field. 1 year of experience in job offered, software development, or related occupation. Skills: Experience with Python and Flask. Experience with AWS services (DynamoDB and SQS) and Kubernetes. Experience with algorithms, data structures, and object-oriented programming. Experience with SQL or NoSQL databases. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Essential Key Responsibilities Single post-sales support point of contact for customers for value & impact conversations. Coordinate (quarterback) with appropriate internal teams for as needed to appropriate D&B resources: ( i.e., Delivery, Onboarding & Implementation, Product Teams, Value Adoption & Training needs. Data Advisory, Global Data Content, Technical Implementation Consultant/Solution Architects, Customer Service). Value Touchpoints (Documentation of Customer Use Cases & KPI’s, User Adoption/Product Utilization/Process Flow. Identify/coordinate Customer Training needs. (Entire portfolio of customers – supporting 4-5 AE’s.) Ensure delivery of contracted products/services to clients to ensure SLAs (Service Level Agreements) and KPIs (Key Performance Indicators) as defined in the contracts are met or exceeded. Facilitate additional customer support in the areas of Data Advisory, Global Data Content Technical Implementation Consultant/Solution Architects, Customer Service, Technology, Training, and Escalation resources as needed. Help promote attendance to Industry Knowledge sessions when available. Responsible and available as backup to Sales AE’s, SR. CSM’s and other CSM’s with contract management, forecasting and negotiation as needed. Additional skill sets with Finance Solutions product certifications and ability to “demo” products as needed with customers directly E

RDQ427R463 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems—from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Genie One is building the AI coworker for business users: a trusted, governed way to ask questions of enterprise data, explore insights, and take action in the flow of work. Our team brings that experience to users wherever they are—across the web, mobile, and desktop applications—so a field employee, executive, or knowledge worker can move from question to insight without being constrained by a browser or a desk. As a Staff Software Engineer on the Genie One Mobile & Desktop team, you will define and deliver the technical foundations for this multi-surface experience. You will work at the intersection of Web UI, Mobile, Desktop, shared frontend infrastructure, and enterprise-grade authentication and governance. This is an opportunity to shape a product and an architecture that are still evolving rapidly: deciding what should be shared, what should be platform-specific, and how to keep the whole system coherent as new capabilities arrive. The impact you will have Set the technical direction for Genie One across web, native mobile, and desktop. Lead the delivery of customer-facing experiences on iOS, Android, macOS, and Windows, balancing web feature parity with native capabilities such as notifications, background activity, multi-window workflows, deep links, and local-file interactions. Shape and execute the long-term product and engineering strategy for Genie One Mobile & Desktop. Build reusable cross-surface primitives, contracts, and patterns with shared product capabilities Make the hybrid codebase easier to evolve by improving boundaries between web views, native shells, pl

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Responsible for pitching D&B’s suite of Data-based solutions to key decision makers within the CMO/CTO & Business Head personas within SMBs and mid corporates. Have complete ownership of assigned target from Lead Generation to final delivery of product offerings. Liaison with the operations team for the smooth delivery of the product and ensure the service expectations of the customers are met. Manage accurate forecasts - providing and maintaining a qualified and up to date funnel, reporting to management on a defined, regular basis. Work with solution architect at D&B to resolve client needs with our data solutions. Map allocated accounts and build strong work relationships with clients for repeat business. Responsible for implementation and migrating existing customers on D&B's new business platforms. Act as a product expert, leveraging internal knowledge to build trust and respect with both internal and external customers. Ensure highest levels of control and compliance are adhered to while meeting sales targets. Create an environment orientated to trust, open communication, creative thinking & cohesive team effort. Key Requirements: MBA or any relevant post-graduation with 3-6 years in Corporate/B2B sales. Highly customer-focused and result-oriented. Seasoned salesperson from a customer centr

Req ID - FEQ327R499 The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Telecommunications Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: 3+ years of experience building and leading technica