Knowledge And Data Architect Jobs

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Architect Team As a member of the Delivery Architect team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Architect, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on

Prototype. Experiment. Build Gallup’s next generation of products. As a senior software engineer at Gallup, you’ll push the boundaries of what our technology can do. You’ll design and deliver full-stack solutions, use rapid feedback loops to test ideas and help turn successful prototypes into scalable, production-ready systems. Your code, ideas and technical decisions will shape solutions that measure people’s work and life experiences, influence leaders’ decision-making, and deliver insights to customers more frequently and in a more personal way. If you’re driven by curiosity, collaboration and the chance to create technology that empowers millions around the world, apply today. What You’ll Do Design, build and ship experimental product features end-to-end, from database schema and API endpoints to UI components and deployment pipelines Write production-quality code across the stack: Node.js/Python backends, data models, RESTful APIs and modern JavaScript front ends with hands-on debugging and performance optimization Prototype with emerging AI technologies (e.g., LLMs, embeddings, agents) by implementing working integrations, running experiments and providing technical recommendations based on real performance data Architect and implement scalable systems from scratch, making concrete decisions on frameworks, infrastructure, caching strategies and deployment approaches What Makes You Stand Out Technical leadership: You’ve guided teams through complex, fast-moving projects. Tool versatility: You’re fluent in multiple languages and frameworks and know how to choose the right tool to deliver results. Collaborative mentorship: You share knowledge generously, explain technical concepts clearly and help others level up their expertise. Startup drive: You thrive among high achievers who believe experimentation and iteration fuel progress. What You Need Bachelor’s degree in computer science, computer engineering or a related field, or equivalent experience, required At l

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. What You'll Do Architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability. Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns. Design and optimize Vector RAG & GraphRAG: retrieval, semantic search, grounding, citation, graph traversal, and context engineering. Deliver technology-agnostic hybrid architecture: across AWS, GCP, Kubernetes, and on-prem/distributed data platforms. Partner across engineering, manufacturing, product, validation, and data teams; lead PoCs, mentor, and set standards. What You Bring (Required) Bachelor's or equivalent experience in CS, AI, Data Science, or a related field; 8+ years in software/AI-ML, enterprise, platform, or knowledge engineering. Validated delivery of enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions. Hands-on Python plus agentic framewo

About the position Showpad is building a Revenue Intelligence engine that transforms raw signals—CRM data, email threads, transcripts, and content engagement—into prescriptive AI guidance. We are looking for a technical Product Manager to own the unified data intelligence layer that powers this engine. You will define how we capture and model data, and critically, determine the best retrieval and inference strategies (Search, RAG, Knowledge Graphs, or Vector Similarity) for every use case. Key Responsibilities Data Modeling & Architecture : Define the canonical model for entities (deals, contacts, skills) and establish the retrieval strategy—choosing between keyword, dense vector, hybrid, or graph traversal based on latency and accuracy. Search & RAG Ownership : Own the end-to-end RAG pipeline (chunking, embeddings, indexing). Write technical specs for retrieval layers in Meeting Prep and Roleplay AI, and define evaluation metrics (Recall@k, MRR). Revenue Intelligence Roadmap : Drive the vision from "trusted foundation" to "prescriptive AI." Own the product logic for Deal Health and Winning Behavior models. Platform Enablement : Act as the internal PM champion for the data platform, providing semantic primitives, event taxonomies, and data contracts to other product squads. Discovery & Strategy : Conduct deep customer discovery and stay ahead of LLM/Search trends, translating fuzzy business questions into scoped ML problems. Required Skills Must haves 5+ years in PM: at least 2 years specifically owning data platforms, search, analytics, or ML products. Retrieval Expertise: Hands-on experience shipping RAG pipelines or search systems. You understand the trade-offs between BM25, vector search, and reranking. Data Technicality : Fluency with Datalake architectures (Delta Lake, BigQuery, etc.) and strong entity-relationship modeling skills. ML Fluency : Ability to define features, label designs, and evaluation metrics. You can review a technic

About the position Showpad is building a Revenue Intelligence engine that transforms raw signals—CRM data, email threads, transcripts, and content engagement—into prescriptive AI guidance. We are looking for a technical Product Manager to own the unified data intelligence layer that powers this engine. You will define how we capture and model data, and critically, determine the best retrieval and inference strategies (Search, RAG, Knowledge Graphs, or Vector Similarity) for every use case. Key Responsibilities Data Modeling & Architecture : Define the canonical model for entities (deals, contacts, skills) and establish the retrieval strategy—choosing between keyword, dense vector, hybrid, or graph traversal based on latency and accuracy. Search & RAG Ownership : Own the end-to-end RAG pipeline (chunking, embeddings, indexing). Write technical specs for retrieval layers in Meeting Prep and Roleplay AI, and define evaluation metrics (Recall@k, MRR). Revenue Intelligence Roadmap : Drive the vision from "trusted foundation" to "prescriptive AI." Own the product logic for Deal Health and Winning Behavior models. Platform Enablement : Act as the internal PM champion for the data platform, providing semantic primitives, event taxonomies, and data contracts to other product squads. Discovery & Strategy : Conduct deep customer discovery and stay ahead of LLM/Search trends, translating fuzzy business questions into scoped ML problems. Required Skills Must haves 5+ years in PM: at least 2 years specifically owning data platforms, search, analytics, or ML products. Retrieval Expertise: Hands-on experience shipping RAG pipelines or search systems. You understand the trade-offs between BM25, vector search, and reranking. Data Technicality : Fluency with Datalake architectures (Delta Lake, BigQuery, etc.) and strong entity-relationship modeling skills. ML Fluency : Ability to define features, label designs, and evaluation metrics. You can review a technic

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to the Director, Field Engineering. The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership Act in a

The Ontology Engineer is a foundational technical hire on the AI, ML and Data Science team specializing in Knowledge Representation. This role is responsible for designing and maintaining the formal ontological architecture that makes cross-organizational data alignment. This is not a taxonomy or metadata management role. It requires genuine formal depth in description logics, upper ontology theory, and the ability to reason about what an ontology commits to and what it leaves open. Our platform sits between hospitals, distributors, GPOs, manufacturers, and regulators, enabling transactional execution, clinical data alignment, and analytics optimization across organizational boundaries. Each party maintains its own implicit ontology encoded in its schemas, workflows, and data. The Ontology Engineer will define the formal structures and processes that make alignment across them possible. These structures should be auditable, compositionally sound, and maintainable over a multi-year lifecycle as all parties' systems evolve. This Engineer will work directly with teammates that are familiar with ontology formalisms and with domain experts who understand the operational realities of HCSC data. They will be expected to make and defend design decisions at the level of formal correctness, not just practical convenience, and to direct and evaluate LLM-assisted ontology discovery and enrichment pipelines with the rigor that formal alignment demands. Essential Duties: Design and maintain the ontology, covering the canonical structural layer (organizations, items, contracts, transaction), source data ontologies (supporting the canonical) and the process layer (data curation, ontology matching, workflows). Establish the rules for when two records from different systems refer to the same thing, and when they don't — recognizing the answer can differ by use case. Establish mappings from trading partner source data to the canonical ontology, with documented proven

(FEQ327R582) The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to Director, Field Engineering. The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

FEQ327R159 Field Engineering Manager - Specialist Solutions Architects France The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to the Senior Manager, Field Engineering (Specialist). The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. This role is for a current vacancy. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine lea

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, dee

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role can be based remotely in the Indian region. As an ideal candidate, you will have: 5+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Working knowledge of UI development with demonstrable skills in semantic HTML, modern CSS, and TypeScript, integrated with frameworks(e.g, Vue.js , React.js , Angular.js ). Should demonstrate working knowledge of using AI agents (e.g Cursor, v0, Lovable, Windsurf) to orchestrate UI designs and interfaces. Proficient in deploying applications to the Cloud with cloud best practices(DevOps) any one cloud provider preferable AWS. Experience with benchmarking, profiling and performance tuning of Database systems 3+ years of software development experience Excellent presentation and communication skills A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database progra

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Senior Software Developer will work closely with Product Manager, Implementation Consultants (ICs) and clients to gather requirements to meet the data analysis need of a company or a client. They must have good collaboration skills. The Senior Software Developer will provide direction on analytics aspects to the team on various analytics related activities. KEY TASKS & RESPONSIBILITIES Experienced in Qlik Sense Architecture design and good knowledge on load script implementation and best practices. Hands on experience in Qlik Sense development, dashboarding, data-modelling and reporting techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources. Good at Data transformation, the creation of QVD files and set analysis. Data Modelling using Dimensional Modelling, Star schema and Snowflake schema. Strong SQL skills (SQL Server) to validate the Qlik sense dashboards and to work on internal applications. Knowledge on deploying of Qlik Sense application using Qlik Management Console (QMC) is a plus. Work with Implementation consultants (ICs), product manager and clients to gather the requirements. Configuration, migration, and support of Qlik Sense applications. Thoughtful implementation of Qlik Sense best practices for efficiency and re-usability. Research and utilize new technologies. Collaborate with the Software Quality Assurance (SQA) team to test the applications functionality. Ensure compliance with eClinical Solutions/industry quality standards,

Become a part of our caring community Job Description Summary The Lead Solutions Architect provides architecture leadership for CenterWell Home Health programs and platforms, shaping conceptual and reference architectures, governing solution designs, and aligning delivery teams to cloud and data strategies. The scope includes high-priority initiatives as well as interoperability and provider-data integrations that span CenterWell and Humana Insurance. As Lead Solution Architect, you'll be the senior individual contributor on a team with broad accountability across CenterWell's dispensing pharmacy portfolio — mail order, specialty, retail, and associated platforms. You'll own the architectural vision for complex, multi-system initiatives, shape how technology decisions get made, and act as a connective force between business strategy, engineering execution, and enterprise standards. You will operate within CenterWell IT – Cross-CenterWell Architecture. You will collaborate with product, engineering, EA Activation, security, data, and operations. You will engage governance forums to enable Integrated Health across CenterWell and Humana Insurance. Key Activities Quickly conduct structured knowledge transfer with existing architects and relevant stakeholders to capture critical in-flight designs and decisions. Review current initiatives and establish an architectural roadmap aligned with organizational priorities. Develop or refine reference architectures and design patterns for core platforms and solutions. Collaborate with governance and compliance teams to validate designs against enterprise standards and regulatory requirements. Define integration strategies and solution blueprints for key systems and data flows. Establish architecture review processes and decision forums to support de