Data Architect Lead Jobs

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP Media, as part of WPP ET, is undergoing a significant transformation, modernising our ways of working, adopting cloud-native architectures, and prioritising AI and data-driven insights. This role is crucial for infusing AI-first thinking at every level. You will bridge the gap between high-level business strategy and hands-on technological exploration, acting as a catalyst for innovation. We need someone who can work closely with our teams to discover, design, and help deliver a truly reimagined future powered by AI, ensuring solutions align with our enterprise architectural principles and standards. Are you a hands-on technologist with a solid understanding of the media or advertising business, eager to explore and apply cutting-edge AI? This isn't a traditional Enterprise Architect role focused purely on mapping and integration. Instead, we're seeking an aspiring architect who thrives on discovery and practical application. You will be instrumental in exploring how emerging technologies, especially agentic AI, can fundamentally reimagine our business operati

The role Scale builds enterprise AI systems deployed into production. As a Solutions Architect, you lead technical execution for enterprise deals in your vertical from initial discovery through deal close, and remain involved post-sale to support account growth. You own an assigned set of enterprise accounts. You conduct technical discovery, evaluate technical feasibility, build solution prototypes, and serve as the main technical point of contact for customer engineering and leadership teams. You work alongside three primary partners: the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). What you will own Technical discovery and qualification. Lead technical discovery and complete the Technical Qualification Checklist, evaluating feasibility, data readiness, integration requirements, security/compliance, evaluation readiness, and stakeholder alignment. Provide clear go/no-go recommendations for prospective deals. Evaluation and success criteria. Define performance metrics and evaluation criteria before proposal stage, including quality dimensions, baselines, evaluation datasets, and subject-matter expert access requirements. Customer workshops. Lead executive technical workshops for target use cases. Prepare pre-read materials and build working prototypes or live demos to validate proposed technical architectures. Statement of Work (SOW) input. Supply the technical input package for SOW creation (architectural approach, prototype findings, risks, dependencies, and assumptions) and review draft SOWs for technical accuracy. Post-sale account engagement. Maintain long-term technical engagement with signed accounts, identify expansion opportunities for new use cases, and share delivery feedback with GTM teams. Vertical technical assets. Develop reference architectures, demo environments, discovery templates, and evaluation frameworks for your assigned industry vertical. Wha

P-351 This role requires candidates to be based in or near São Paulo. Candidates from other locations will not be considered. Mission: We are looking for an experienced pre-sales professional with a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to critical accounts. The impact you will have: You work with 1-5 clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. What we look for: Proficiency at establishing virtual customer collaboration, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and drivin

FEQ128R27 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations

FEQ128R7 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Portworx by Everpure is the leading global solution for unlocking the potential of Kubernetes by unlocking the power of data at enterprise scale. Portworx is a cloud native platform that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments. By providing a single standard that works across the environment, we reduce the operating cost of kubernetes, unlock more use cases, respond and pivot to changes due to economic, regulatory and/or business impacts and make it easier to modernize applications, delight developers, and deliver innovation. Via Portworx, you can manage any database or stateful service on any infrastructure using any container scheduler. You get a single data management layer for all of your stateful services, no matter where they run. And we thrive in multi-cloud environments. We are looking for Kubernetes experts to help our team capture this massive and rapidly growing market opportunity. This architect role will serve as the vanguard of the “Kubernetes Everywhere” movement. There’s no safe harbor here for those that can’t, don't, or won’t. There’s also no room for those that put “I” ahead of “We”. We are customer first, we lead with integrity, and recognize that unlocking achievement requires engagement across the full spectrum of co-selling partners. We are builders, creators, and

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to existing digital native customers. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pro

About Graphcore Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. About the Role We are seeking a Principal Security Architect to design, maintain and secure scalable infrastructure solutions for cryptographic key management. In this strategic role, you will be responsible for evaluating, deploying and manage Hardware Secure Modules from the ground up, ensuring compliance with standards across different regions. You will also enable multiple teams by supporting them for control and automation. You will be expected to drive and implement policies for key and certificate creation, rotation, and revocation. Collaboration with stakeholders to analyze requirements and implement robust access controls is essential while demonstrating operational excellence. RESPONSIBILITIES Design and deploy scalable, secure infrastructure solutions from scratch, aligned with business requirements and security standards. Hardware Secure Module ownership and governance. Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform. Conduct risk and compliance assessments to support system security plans and disaster recovery strategies. Collaborate on requirement analysis, user and key story operations, and capacity planning to ensure optimal resource utilization. Advocate for best practices in secret lifecycle management, a

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Fintech space The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability

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 20 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 + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. Broad AI Engineering experience with the likes of, ML, NLP, Computer Vision, Deep Learning 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The OEM Solution Architect is the technical counterpart to the OEM Growth Product Manager, responsible for the technical architecture, integration, certification, and lifecycle management of Everpure’s most strategic OEM relationships, including but not limited to Telco, Healthcare, and AI Infrastructure . This role owns the end-to-end technical solution lifecycle between the OEM, relevant third-party technology alliances, and Everpure — ensuring joint offerings are architecturally sound, interoperable, and built to scale. Reporting into the Everpure Solutions Engineering organization , this role partners closely with the OEM Growth Product Manager in the Enterprise Line of Business — who owns the programmatic, commercial, and operational dimensions of these relationships — to translate partner and end-customer requirements into validated architectures, drive certification and interoperability, and ensure technical roadmap alignment across Engineering, Product, and Alliances. WHAT YOU'LL DO Own OEM solution architecture: Serve as the primary technical owner and liaison between OEM partners, third-party alliance partners, and Everpure. Manage the end-to-end solution lifecycle: Own documented reference architectures that integrate Everpure storage with the full-stack components required by each OEM solution. Lead certification and interoperability: Drive technical certification and interoperability testing with OEM

CSQ427R440 The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution. You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training. The impact you will have Work with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals. Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery. Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans. Manage and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams. Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally. Identify capability gaps that may affect platform adoption and work with account teams on targeted

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 20 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 + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Broad technical range across AI, Python/SQL/R and Power BI/Tableau; familiarity with Databricks/Snowflake is a plus. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Profe

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Healthtech space The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated abil

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 20 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 + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. 2+ years in technical training in AI upskilling or similar instructor roles. Broad AI experience across Claude, CoWork, CoPilot, ChatGPT Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (with a success based component of your salary tied to this) Why Da