Knowledge And Data Architect Jobs

Req ID - FEQ427R59 Location: London The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and dem

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You’ll Do: Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs. Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly What We’re Looking For: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries fo

Who we are 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Our AI-powered Assistant serves as the initial point of contact for customers seeking assistance on how to use our platform effectively. The Customer Engagement and Docs platform team's objective is to help customers resolve their problems faster using AI / LLMs. We provide customers with precise and comprehensive solutions to their problems or build experiences to facilitate a seamless escalation to a support agent when necessary. As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them. The impact you will have: Lead design, development, and deployment of systems for Evaluation, Answer retrieval and Quality improvement for helping customers. Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems. Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations. Deliver high-quality, production-ready code and serv

P-1415 At Databricks, we are passionate about helping data teams 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. Founded by engineers, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads. As a software engineer, you will join as a founding member of not only the Belgrade site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store. Develop product features that empower our customers to easily store and access their data. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language Experience developing large-scale distributed systems Experience working on a SaaS platform or with Service-Oriented Architectures Knowledge of SQL About Databricks Databricks is the D

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Designing and implementing robust python testing automation frameworks using BDD (Behave) ETL Testing: Proven experience in testing ETL pipelines, data validation, and ensuring data quality Scripting automated tests and working collaboratively with other engineers in a continuous build environment Familiarity with CI/CD tools such as AWS pipelines, Github actions Understanding of cloud architecture principles preferably AWS and/or GCP Data Testing experience - Ability to understand data requirements and perform comprehensive data testing Understanding of data engineering Excellent PyTest and SQL skills Nice to have: Behave BDD experience We expect you to have some knowledge about best practices in designing and building scalable and performant cloud-native data platforms and be comfortable with testing them. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of exper

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Designing and implementing robust python testing automation frameworks using BDD (Behave) ETL Testing: Proven experience in testing ETL pipelines, data validation, and ensuring data quality Scripting automated tests and working collaboratively with other engineers in a continuous build environment Familiarity with CI/CD tools such as AWS pipelines, Github actions Understanding of cloud architecture principles preferably AWS and/or GCP Data Testing experience - Ability to understand data requirements and perform comprehensive data testing Understanding of data engineering Excellent PyTest and SQL skills Nice to have: Behave BDD experience We expect you to have some knowledge about best practices in designing and building scalable and performant cloud-native data platforms and be comfortable with testing them. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of exper

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers. The impact you will have: Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: 7-10 years running a Professional Services line of business. 10+ years in senior customer-facing roles with a mix of influencing and execution. Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). Strong knowledge of Databricks architecture, competitors, and migration benefits. Proven track record of managing large-scale program plans and service delivery. Ability to travel up as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databric

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is the senior-most engineering role at Sapience AI. You own the technology, the architecture, and the engineering organization that build the collective intelligence platform. You are accountable for MINERVA and the COGENT architecture: how they are designed, how they scale, how they stay trustworthy, and how quickly the organization can ship. You set technical direction and build the team that delivers on it. You sit on the executive team, translating company strategy into technical strategy and back, and making the calls that determine whether Sapience AI can build what it has promised. Why this role exists Collective intelligence at the scale of professional communities is a hard systems problem: reasoning over messy knowledge, earning trust, protecting sensitive data, and doing it reliably. Someone has to own whether the technology can actually deliver on the vision. In an AI market moving this fast, the durable advantage is an engineering organization that learns and ships faster than the field, on an architecture that can carry the next several years. The Head of Engineering supplies that. You own the technical strategy, the architecture, t

Se nior Software Engineer Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We’re looking for Senior Software Engineers with a ‘product builder’ mind-set to join our team and take a pivotal role in the development and guidance of our product. As a ‘t-shaped’ engineer, you will bring a broad practical knowledge across various areas of software development, complementing and supporting our growing team whilst likely having a deeper specialism in front or backend. This is an exciting opportunity to leverage your existing skills, experience, and knowledge to significantly influence the trajectory of our product as we aim to revolutionize research. What you’ll bring to the role Deep understanding of modern web applications Experience building Typescript/Javascript applications and using NoSQL databases Experience using Python Knowledge of Event-Driven Architecture Experience using AWS (Serverless) and/or GCP Understand the importance of driving quality into code through test automation Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment. (e.g. Rum, Tracing) Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like Care about the product life cycle and are customer value focused Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback Passionate about software development with an appetite for learning and self-improvement What you’ll be doing in the role As a member of a cross-functional, stream-aligned team, you wi

Se nior Software Engineer - Mexico City Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We’re looking for Senior Software Engineers with a ‘product builder’ mind-set to join our team and take a pivotal role in the development and guidance of our product. As a ‘t-shaped’ engineer, you will bring a broad practical knowledge across various areas of software development, complementing and supporting our growing team whilst likely having a deeper specialism in front or backend. This is an exciting opportunity to leverage your existing skills, experience, and knowledge to significantly influence the trajectory of our product as we aim to revolutionize research. What you’ll bring to the role Deep understanding of modern web applications Experience building Typescript/Javascript applications and using NoSQL databases Experience using Python Knowledge of Event-Driven Architecture Experience using AWS (Serverless) and/or GCP Understand the importance of driving quality into code through test automation Have supported applications in production, with demonstrable experience of good observability practices within a full stack environment. (e.g. Rum, Tracing) Have worked in a collaborative environment with strong engineering practices and know what good engineering looks like Care about the product life cycle and are customer value focused Understand the value of continuous, iterative improvement using data to drive decisions and a culture of feedback Passionate about software development with an appetite for learning and self-improvement What you’ll be doing in the role As a member of a cross-functional, stream-aligned team,

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: We are an end to end tech enabled credit platform providing seamless credit access to customers. Our capabilities extend from fully digitized customer on-boarding, seamless in-app to real times offers for We partner with financial institutions and leverage the insights we gather through our ecosystem design and offer innovative and customized financial products to our consumers and merchants. About Role: As a Product Manager, you will work closely with Business, Product, Solution Architecture, and Engineering teams to translate customer and business needs into scalable product solutions. You will own requirements, PRDs, product roadmaps, and execution, leveraging your lending domain expertise to solve complex problems. You will drive cross-functional alignment, enable faster decisions, resolve roadblocks, and lead Agile/Scrum processes. You will also proactively test products, validate end-to-end journeys, identify edge cases, and use data and product KPIs to continuously improve customer and business outcomes. Expectation: • Working closely with vertical product managers/ business leads to understand product use cases, customer journeys, business applicability and impact of each use case. • Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables • Make sure that clear, simple, and technically sound decisions are made • With your strong domain knowledge of lending platforms, we expect you to provide your subject matter expertise in r

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create customer value. We execute complex customer integrations to create and customise data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector customers. The Platform Operations & Compliance team works closely with customers, as well as our internal Engineering, Machine Learning, InfoSec and Product organisations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base Support platform reliability, cost and controls and support customer security reviews and accreditations Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross-functional team of engineers, data scientists, and product managers Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes owners

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a strategic ABM leader to build and elevate Elastic's account-based marketing practice as a part of our Executive and ABM Marketing Programs team. This is a player-coach role - you're accountable for your team's collective results while architecting the center of excellence, governance, tooling, and enablement that scales ABM across the entire organization. You'll define what great ABM looks like at Elastic, develop the marketers who deliver it, and ensure the broader GTM org understands how to adopt ABM principles. You'll partner closely with Executive Programs to turn our highest-value accounts into executive relationships, pipeline, and revenue. What You Will Be Doing Center of Excellence & Governance Define Elastic's ABM vision, playbooks, and maturity roadmap across 1:1, 1:few, and 1:many motions Establish governance: account selection criteria, tier methodology, ICP scoring, and cross-functional working norms Build and maintain the ABM knowledge hub - ensuring plays, findings, and procedures are detailed and accessible Be responsible for the ABM tech stack - ensuring adoption, correct configuration, and significant return on investment Leadership & Coaching Lead, mentor, and develop a team of ABM managers — owning their growth, performance, and everyday execution quality Serve as Elas

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. Content Systems is the heart of Lyft's language ecosystem. The team is made up of two distinct disciplines, Content Design and Learning Experience Design, who create and own language across Lyft's in-app experiences that help customers succeed on the Lyft platform. We're looking for a Content Systems intern to join our team for the summer. This role will both help design and build our internal content system (think information architecture), and embed in a rotation of design teams as a content design/learning design partner in building products across the Lyft community. Of course, you won’t be alone. You'll work with designers, researchers, marketers, and product managers day in and day out to develop experiences that reach and resonate with riders. This internship will take place in our Toronto office during Summer 2027 . What we're looking for Responsibilities: Support our content system by establishing and translating information architecture to help manage content across Lyft Help teams reconsider existing systems and processes (eg publishing workflows) to align to the new information architecture Support product strategy and vision through content, working on projects as a content designer and learning experience designer Translate complicated concepts into clear in-product copy (UI, notifications, errors, and more) and learning materials Collaborate with designers, visual content creators, researchers, engineers, marketers, data science, product managers, and other stakeholders across tech and ops The ability to translate concepts across the UI, learning center, and knowledge base into connected content objects Manage multiple projects and competing priorities Maintain, evolve and champion the Lyft brand voice and style Skills: Excellent writing skills; ability to