Azure Cloud Architect Jobs

Shape the Future of Data. Design Products That Matter. Join Capco's growing Data & Analytics practice and help some of the world's leading financial institutions unlock the value of their data. We're looking for experienced consultants with expertise across data architecture, data modelling, data products and enterprise data solutions. Whether your passion lies in defining strategic data capabilities, designing modern platforms, or delivering business-focused data products, you'll have the opportunity to solve complex challenges while helping clients transform the way they use data. The Role As a Senior Data Consultant, you'll work alongside multidisciplinary teams to design and deliver modern data capabilities that enable better business decisions. You'll combine technical expertise with consulting skills to help clients define target architectures, create scalable data solutions and establish data products that generate measurable business value. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You'll Do Design and deliver enterprise data architectures, logical and physical data models, and scalable data solutions aligned to business strategy. Partner with business and technology stakeholders to define and implement high-value data products and data-driven capabilities. Lead or contribute to data transformation initiatives, including cloud migration, modern data platforms and data governance. Translate complex business challenges into practical, sustainable data solutions using industry best practices. Mentor colleagues, contribute to capability development and help shape the growth of Capco's Data & Analytics practice. What We're Looking For Experience delivering data architecture, data model

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! As a Solutions Architect , you will be the trusted advisor helping our customers unlock the ultimate value of Couchbase. You will work directly with customer engineering teams, blending high-level architectural coaching with hands-on professional service delivery. If you love solving complex, real-world data challenges, designing cutting-edge AI-ready architectures, and guiding enterprise customers from design to production, this role is for you. What You’ll Do (Responsibilities): Lead Customer Engagements: Guide short- to medium-term on-site and remote client engagements. You will lead architecture and use case reviews, sizing, performance tuning, and deployment topology planning to get Couchbase up, running, and optimized. Solve Complex Technical Challenges: Work hand-in-hand with customers t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

Generative AI Architect Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to containerized and distrib

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

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Compliance Architect to join our team. This is a Remote (if located outside of the San Jose, CA area) or Hybrid (based in San Jose, CA) role, reporting to the Director, Technology Risk and Compliance in the Exposure Management & Security Operations department. Zscaler is seeking an experienced Staff Compliance Architect to serve as the compliance team’s technical subject matter expert and to embed scalable, auditable compliance requirements into product and infrastructure delivery. This role brings an architectural mindset to compliance, partnering closely with Engineering, Product, Compliance Engineering, and Authorization Operations (AuthOps) to translate regulatory and assurance obligations into clear technical requirements, standardized implementation patterns, and automated validation. What you’ll do (Role Expectations) Define and maintain enterprise privacy baseline requirements, em

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone – from emerging artists to global brands – everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe purchases products and services from thousands of suppliers each year. We aim to accelerate Adobe's continued commercial success through outstanding strategic sourcing. You will have the chance to lead sourcing projects while you partner with internal teams and suppliers to optimize spend across Adobe's indirect categories. What you'll do Lead end-to-end commercial strategy for global cloud providers (e.g., AWS, Azure, GCP), including complex enterprise agreements, consumption optimization, and long-term capacity planning. Partner with Engineering, Architecture, and Finance to translate cloud usage patterns into actionable sourcing strategies that reduce total cost of ownership while maintaining performance and resilience. Develop and execute negotiation strategies for multi-year cloud commitments, marketplace agreements, and emerging cloud-native services. Utilize governance mechanisms that improve visibility into cloud spend, usage forecasting, and risk management. Monitor market trends across hyperscalers and cloud ecosystem vendors to inform build vs. buy decisions and long-term platform strategy. Proactively seek value-creating opportunitie

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. What You’ll Do: Own the technical strategy for large, comp

REQ ID: FEQ227R147 Location: United Kingdom (Remote/Hybrid — London or UK-based) Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. What You'll Do Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains wh

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success. Datadog's Cloud Cost Management (CCM) suite helps Platform, Application Teams, Operations, FinOps, and Finance teams understand, allocate, and reduce cloud spend by putting cost data next to the observability data that explains it. As a Product Solutions Architect, you will partner closely with Datadog customers and the Cloud Cost Management product team to design product use cases, implement best practices, and drive adoption of CCM across customer environments. This includes infrastructure cost allocation, cloud costs, token usage, container costs, budgets, and optimization recommendations. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Serve as the in-house subject matter expert for Datadog's Cloud Cost Management products, including cost visibility across AWS, Azure, and GCP, Kubernetes and container cost allocation, custom and SaaS cost ingestion, budgets, anomaly detection, and cost optimization recommendations Provide architectural guidance on capacity planning, comparing cloud service cost models, and balancing performance vs. cost trade-offs across different cloud environments Guide customers on tokenomics and AI cost attribution across providers (Anthropic, OpenAI, AWS Bedrock, Google Gemini, Vertex AI, and GitHub Copilot), helpi

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Join us at the forefront of AI and cloud-native security as we work to secure one of the most innovative developer platforms in the world. As the Cloud Security Lead , you will shape the cloud and infrastructure security program that protects millions of developers, enables safe AI-assisted development, and ensures organizations can confidently bring our platform into enterprise environments. In this role, you will own cloud security across GCP (primary) and supplemental environments in AWS and Azure , as well as containerized systems, SaaS platforms, and our multi-tenant AI infrastructure. You’ll improve our security posture through strong architecture, posture management, secure-by-default development practices, and close partnership with Engineering, Compliance, Security Architecture, and Platform teams. This is a highly impactful, hands-on leadership role—perfect for someone who wants to solve complex security challenges at scale while influencing product, engineering, and go-to-market teams. What You’ll Do: Cloud Security Engineering Lead configuration hardening across GCP , with additional oversight of workloads and integrations running in AWS and Azure . Own and optimize CSPM platforms across multi-cloud environments—establishing configuration baselines, guardrails, and remediation workflows. Secure critical SaaS platforms , ensuring proper configurations, access controls, and engineering integrations. Lead infrastructure vulnerability management across multi-cloud systems, containers, registries, and platform services. Enhance security across containerized and Kubernetes (GKE/EKS/AKS) workloads, including runtime protections, network policies, and workload identity. Assess secure logging configurations across c

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 You will have the opportunity to work with tremendous Services, Engineering and Sales teams and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers. What You Will Be Doing We are looking for a delivery architect who demonstrates visionary leadership by orchestrating and implementing Elastic solutions, generating customer business value from our products. Grouping responsibilities in the following areas: Assess and Design Thoroughly analyze and understand customer business pain points and intricate technical challenges Gather requirements in complex enterprise customer environments Master Elastic solution architectural design on platforms integrating with other enterprise technologies Create and build out customer road maps Demonstrate technical authority by proficiently articulating complex technical solutions in clear language, effectively persuading the audience to embrace recommended best practices while presenting and delivering Elastic's optimal solutions. Implement and Deliver Orchestrate and implement capacity planning in mission-critical environments Perform technical audits, upgrades, platform migrations, and use-case expansion Work with and guide our customers along their ever-maturing Observability journey Influence and C

Generative AI Architect Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation The Role As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals. What You’ll Do Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives Design scalable, modular solution patterns and integrate foundation models into enterprise environments Architect and implement agentic AI systems, including workflows, orchestration, and system integrations Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field 10+ years of experience in software architecture, including hands-on work with AI/ML systems Strong expertise in generative AI, foundation models, and agentic AI frameworks Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP) Proven ability to communicate complex technical concepts and influence technical decision-making WIllingness to work in our office 3 days/week Bonus Points For Experience with prompt engineering and advanced RAG-based architectures Familiarity with vector databases and unstructured data processing techniques Experience implementing MLOps frameworks and production-grade AI systems Exposure to containerized and di

The Team: We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. The Opportunity: The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel. You Will: Ensure the successful onboarding, training, enablement, and certification of partner technical resources; Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams; Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices; Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution; Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities; Collaborate with Datadog’s produ

Req ID: FEQ327R425 Location: Tokyo, Japan Language Requirements: Fluent Japanese required; Business-level English preferred As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with cloud infrastructure and big data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices including automation Architect production-level workloads, including end-to-end pipeline load performance testing and optimisation Provide technical expertise in cloud infrastructure and security relating to our Databricks Intelligence Platform Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures Improve community adoption (through tutorials, training, hackathons, conference presentations) Contribute to the Databricks Community and act as a technical SME. What we look for: Pre-sales or post-sales experience working with external clients across a variety of industry markets Experience as a Data Platform engineer designing, setting up, and maintaining production-grade big data systems (Spark) Experience designing cloud i