Data Architect Lead Jobs

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… About the role ... As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients’ data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact’s growth by driving innovation and promoting best practices in cloud technology. What you'll be doing ... Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements. Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection. Oversee the integration of cloud platforms with data pipelines, storage, and compute services. Standardize coding, deployment, and monitoring practices across cloud environments. Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently. Lead problem-solving initiatives for complex technical challenges related to cloud environments. Provide technical leadership across multiple cloud projects, ensuring efficient resource management. Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer. Manage client relat

GAQ126R43 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Technical Lead to own the technical architecture and delivery of our SAP platform. In this role, you'll define the technical vision for a clean-core S/4HANA landscape, lead the engineers who build on it, and architect the intelligent, agentic AI layer that sits between SAP and the Databricks Data Intelligence Platform. You'll set the standards, make the hard build-versus-adopt calls, and ensure everything we ship is secure, performant, and built to scale. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Technical Lead, you will own how those processes are engineered—from the clean-core S/4HANA core and its extensions, to the integration fabric that connects SAP to the rest of the enterprise, to the AI and agentic services that make the experience intelligent. Rather than accumulating custom code inside the digital core, you'll champion a modern extensibility model on SAP BTP and the Databricks Lakehouse, so Finance teams get automated, AI-driven workflows on top of a core that stays clean, upgradable, and fast. Your mission is to combine the strength of SAP with the power of Databricks AI to build a te

At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We’re looking for an outstanding Solutions Architect to join our team. Who you are You're a problem-solver with impeccable intuition. You have a long history of working with software technologies on various platforms, and when you confront something unfamiliar, you figure it out quickly and correctly. You're just as comfortable designing an architecture as you are doing the heavy lifting to implement it. You can skillfully articulate requirements to our internal team and navigate complex technical discussions and decisions with our client partners. You love software craft, hold yourself to high standards, and lead by example. You're not limited by software engineering dogma, and your engineering principles are mature, fluid, and influenced by your experience, your peers, and our industry's ever-changing landscape. What you will be doing Architecture Design & Implementation: Lead the design of robust architectures tailored to client needs. Implement these solutions hands-on, ensuring scalability and maintainability. API Design & Integration: Design, develop, and integrate APIs, ensuring seamless communication between systems and enhancing overall performance. Technical Leadership: Guide and mentor engineering teams, conduct code reviews, and set technical standards. Engage in technical spikes to explore new technologies and methods. Client Interaction: Work closely with clients to understand their business goals, present technical solutions, and adjust strategies based on feedback. DevOps & Release Management: Design, set up, and maintain CI/CD pipelines. Manage deployment processes to ensure smoot

FEQ227R170 Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have : Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications Build and present reference architectures, how-tos, and demonstrate applications for customers Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars Travel to meet with customers in your territory What we look for : 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Pyth

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - UAE About the Role: As a member of the Integrations Team, you’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing: Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during thei

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. Build proofs-of-concept, conduct experiments,

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV) Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. Solid programming skills, with a good understanding of data structures and computer systems fundamentals. Strong learning agil

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in

FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 6+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - UK, Bulgaria, Estonia, Germany, Hungary, Ireland, Lithuania, Netherlands, Poland, Portugal, or Spain About the role The Integration Team plays a critical role in helping customers deploy Sardine’s fraud, risk, and compliance products quickly and successfully, serving as the technical bridge between customer environments and our platform. You'll own implementations end to end, working across APIs, webhooks, data mapping, event-driven workflows, and production issues to deliver scalable, high-quality integrations. You’ll partner closely with customers and cr

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

About Showpad Showpad is the leader in revenue effectiveness, helping organizations in complex, field-driven industries turn strategy into execution and execution into measurable growth. Purpose-built for industrial organizations such as those in manufacturing, consumer packaged goods, and medical device companies, Showpad’s AI-native platform unifies content management, sales readiness, buyer engagement, and revenue intelligence into a single system of execution. Powered by GenieAI and grounded in trusted first-party data, Showpad enables revenue teams to automate workflows, scale winning behaviors, and reclaim lost revenue across every customer interaction. More than 2,000 global organizations rely on Showpad to drive consistent, high-impact performance in the field. Built for effectiveness and recognized for excellence, Showpad is consistently named a Leader by Gartner, Forrester, IDC, and Aragon, and backed by 2,500+ five-star reviews on G2 and Gartner Peer Insights. The Role As Chief Architect you set and steward the architectural direction of Showpad's entire product portfolio. You are the CTO's principal technical partner: the person who defines the target-state architecture, sequences the runway to get there, holds the bar on technical quality, and makes the economics of AI and cloud a first-class design consideration rather than an after-the-fact surprise. The role is deeply technical and deeply cross-functional. You will spend your time in design reviews and equally in rooms with Product, GTM, customers, the executive leadership team and the board — and you will be expected to be credible and additive in all of them. Key Responsibilities Portfolio architecture. Own and lead the overall architectural direction across multiple products, defining the target-state platform architecture and the pragmatic path from where each product is today. Architecture Review Board. Chair and run the ARB — establishing standards, reference architectures, decision records and