Azure Senior Data Cloud Architect Jobs

MongoDB Technical Services Engineers combine technical expertise, structured problem solving, and exceptional customer service to help customers build and operate reliable MongoDB applications and deployments. The team supports the MongoDB ecosystem—including the database server, drivers, Atlas, Cloud Manager, Compass, and related services. Engineers work directly with customers to understand complex technical challenges, identify root causes, and provide practical solutions for largescale, data intensive environments. We are looking for highly technical, insatiably curious, and adaptable engineers who enjoy understanding how systems are designed, deployed, and operated. Success in this role requires sound judgment, clear communication, initiative, collaboration, and a genuine desire to help others. Location and working model This role is based in Toronto and follows a hybrid working model, with a minimum expectation of three days per week in the office. Office location: 333 Bay St., Suite 1400, Toronto, ON M5H 2R2, Canada Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need We consider all candidates with an eye for those who are self-taught, insatiably curious, and multi-faceted. The ideal candidates should have strong technical experience in one (or more) of the following areas Systems administration Distributed systems Network Administration Database architecture and administration Application Architecture Data architecture and design Per

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Modalidade: Híbrido 2x na semana - Centro Comercial Alphaville/ Barueri - SP. Inglês avançado/fluente - mandatório ( será avaliado em entrevista) • Conhecimento em desenvolvimento Full Stack, construindo aplicações de nível corporativo, idealmente em serviços financeiros ou setores regulamentados. • Frontend: Proficiência em React (TypeScript), arquitetura de UI baseada em componentes, gerenciamento de estado (Redux ou Zustand) e desenvolvimento de interfaces com alta densidade de dados — dashboards, fluxos de trabalho de múltiplas etapas (steppers), telas com muitos formulários e exibição de KPIs em tempo real. • Backend: Sólidos conhecimentos de desenvolvimento em Python com FastAPI — projetando e desenvolvendo RESTful APIs, processamento assíncrono de requisições, injeção de dependências, modelos Pydantic para validação de requisições/respostas e documentação OpenAPI/Swagger. Experiência com C# (.NET) é um diferencial. • Banco de Dados: Sólido conhecimento com Azure SQL — design de schemas, migrations, indexação, stored procedures e trabalho com padrões imutáveis/append-only, como logs de auditoria e tabelas de execução de etapas. Experiência com SQLAlchemy ORM ou pyodbc é desejável. • Design de APIs: Capacidade de projetar REST APIs limpas e versionadas — autenticação, middleware, tratamento de erros e integração com serviços externos e conectores de terceiros. • Padrões de Workflow / BPM: Familiaridade com design de state machines, roteamento de etapas e registro de trilhas de auditoria. Experiência com BPM é um diferencial. • Integração com IA: Vivencia na integração de APIs de LLMs (OpenAI, Anthro

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Principais responsabilidades Desenvolver e manter mappings, tasks e taskflows utilizando Informatica IDMC/CDI; Apoiar a construção e manutenção de pipelines de ETL/ELT; Realizar extração, transformação e carga de dados provenientes de diferentes fontes; Desenvolver e executar consultas SQL para análise, transformação e validação de dados; Utilizar Python para automações, manipulação de dados e rotinas de apoio às integrações; Executar testes unitários e apoiar testes integrados; Realizar validações e reconciliações de dados entre sistemas de origem e destino; Apoiar investigação e resolução de erros em pipelines e processos de integração; Criar e manter documentação técnica de mappings, pipelines e fluxos de dados; Participar das cerimônias e atividades do time dentro de metodologias Agile/Scrum; Utilizar ferramentas de versionamento de código, como Git. Requisitos mandatórios Conhecimento ou experiência prática com Informatica IDMC/IICS, preferencialmente Cloud Data Integration (CDI); Conhecimento de conceitos de ETL e ELT; Conhecimento de SQL e bancos de dados relacionais; Conhecimento de Python para desenvolvimento de scripts e automações; Conhecimento de modelagem e conceitos básicos de Data Warehouse; Conhecimento de APIs REST e formatos de dados como JSON e XML; Familiaridade com Git e conceitos de versionamento; Capacidade analítica e interesse em resolução de problemas; Boa comunicação e capacidade de trabalhar em equipe. Diferenciais Experiência ou conhecimento em Azure, AWS ou GCP; Conhecimento de Databricks, Snowflake ou plataformas similares; Conhecimento de Data Lake e arquiteturas Lakehouse; Conhe

**This is a 6 month internship starting in January 2027** We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their time pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users. What we are looking for in you (qualifications) In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field. Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design. Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language. Have a minimum of one semester remaining in university studies after the internship concludes. Graduation date in, Spring 2028 or Summer 2028. Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested. Company sponsorship may be available for eligible candidates applying for certain roles. What you'll find at MongoDB Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation. Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth. Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development. Work-Life Harmony: Embrace "Bloom for Interns" with access to

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Partner with development and product teams to ensure product quality in a fast-paced Agile environment Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes Write and maintain automated tests for data-validation workflows Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle Perform manual functional, regression, integration, and exploratory testing when automation is not suitable Validate multi-tiered, data-driven applications processing large volumes of records Define and track quality metrics including defect counts, severity, test execution, coverage and release status Identify, document, report, track and verify issues through to resolution Perform root-cause analysis and collaborate on preventive quality improvements Support product deployments, release validation and QA sign-off Partner with support teams to reprod

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! New Relic Solutions Consultant II If you have that special mix of DNA that makes an extraordinary Solutions Consultant (SC) – the blend of great business savvy and technical prowess – then we are a match made in heaven! As a key member of our New Relic Solutions Consulting (NRSC) team, you will be responsible for understanding a client’s business challenge and technical environment through deep levels of discovery and engagement. You will present technology solutions to solve these business challenges and build confidence in the New Relic platform capabilities through value alignment and clear differentiation. As the domain expert on New Relic you will help drive the ‘Technical Win’ in accounts by removing all technical objections in the sales cycle through your depth of technology skills and business acumen to provide clear business value. You will be responsible for driving revenue for our New Relic platform with the the support and partnership of Sales, Product Management and our executive team. This role requires a hands-on solution consultant who can go wide and deep on solution positioning, differentiation and value during sales cycles. What you'll do: You will be the Technical lead for New Relic prospects (new logos) and customers and own the technical strategic direction in the account through an advanced ability to develop, position and provide product-centric and value-centric solutions during sales cycles, while achieving quarterly and annual sales goals for an assi

CSQ427R389 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks

We are looking to speak to candidates who are based in Sydney for our hybrid working model. Required Experience building and maintaining complex mission-critical production database systems (RDBMS or NoSQL). Coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc. Experience working with APIs and using it to integrate with 3rd party technologies and software in the areas of security and fraud, big data analytics and AI, healthcare, content management, IoT, database performance monitoring and management; financial services, healthcare services, telco etc. Solid hands-on experience with systems engineering, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting Experience analyzing and troubleshooting issues holistically, from the application tier through the database, down to storage Troubleshooting experience with TCP/IP networking stack on OS and Hypervisor Experience using or administering one or more cloud services stacks such as AWS, Azure or GCP Hands-on experience with administering and troubleshooting NAS, SAN, local storage, multi-pathing Experience building solutions involving application workloads and use cases. Preferred Experience using or managing MongoDB preferred Experience in one or more programming languages developing applications using a NoSQL or SQL database. Strong understanding of authentication systems such as LDAP, Kerberos, AD Experience using distributed version control systems, and in particular git Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators. Experience in working software product teams, and familiarity with product release processes from planning to release. Success Measures In 3 months, you’ll have gained a deep understanding of MongoDB and its partner ecosystem. You will complete New Hire Training. In 6 months, you will be comfortable working frontline w

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you’ll do In this role, you’ll help build and maintain Data Security products as a Software Engineer. These products empower customers to gain deep visibility into Cloud/SaaS security opportunities and into trends in their network traffic and product use. As an engineer on the team, you will focus on building new functionality into our APIs and distributed code while ensuring the performance and reliability of our services which ingest millions of

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Technical Owner to lead our Artificial Intelligence (AI) focused team. The ideal candidate has commercial experience with Large Language Modules (LLMs). Although this is a manager role, the expectation is that this individual will be spending at least 50% of their time directly contributing to the software. AI is an important driver for the future of Litmos as we continue to work on our recently launched AI Assi

The database market is massive (IDC estimates it to be $121B+ by 2025!) and MongoDB is at the head of its disruption. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. Building on the rapid success and adoption of MongoDB, we are delivering applications and services that make it much easier to manage and scale database deployments. These next-generation systems are a growing list but currently include products such as Atlas (www.cloud.mongodb.com), Cloud Manager and Compass. MongoDB Atlas is the premier multi-cloud database-as-a-service built and operated by the makers of MongoDB. The Cloud Operations Engineering team at MongoDB is a worldwide team responsible for the consistent operational success of every MongoDB Atlas customer. As a Cloud Operations Engineer, you will help ensure the success of our Atlas customers, whether they are early startups or large multinational companies, cloud-native or just getting started with a digital transformation to the cloud. You are excited about the core mission of MongoDB, and the opportunity to join the team responsible for operating Atlas, the fastest-growing multi-cloud database-as-a-service in the world. Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. Day to day you will… Successfully coordinate with a global team of Cloud Operations E

FEQ128R40 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data e

Build quality into every product and help shape the future of AI-powered software. As a quality engineer at Gallup, you'll help deliver software our clients can trust by partnering with product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of the software development life cycle. Rather than simply executing test cases, you'll apply systems thinking to identify risks, develop thoughtful validation strategies and help ensure every release delivers an exceptional customer experience. As Gallup continues to expand its AI-powered products, you'll also have opportunities to contribute to testing intelligent workflows and emerging AI capabilities. What You’ll Do Develop a deep understanding of product features, customer workflows, system interactions, APIs, data flows, integrations and technical dependencies to identify quality risks and determine the most effective validation strategy Collaborate within Gallup's Product Operating Model alongside product managers, software engineers, designers and fellow quality engineers to ensure quality in every stage of product development Design, execute and maintain manual and automated tests across user interfaces, APIs, integrations and end-to-end workflows Develop and maintain automated test suites using Playwright or comparable modern automation frameworks Perform exploratory, regression, smoke and end-to-end testing to uncover system risks and validate critical customer experiences Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback throughout development Troubleshoot automation failures and partner with engineering teams to improve test stability, reliability and automation coverage Create and maintain test plans and traceability that reflect product intent, customer impact and overall validation strategy Support production validation and investigate customer-reported issues when needed Continuously improve quality engineering practices, autom

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

As a Consultant Systems Support Engineer you will play a vital role in supporting the day-to-day operations of application systems. This role involves actively contributing to incident management and gaining exposure to DevOps practices. Your efforts will contribute to the smooth functioning of systems and you'll have the opportunity to learn and grow while assisting in the delivery of solutions to our clients. Job responsibilities You will work with incident management process and tools. You will use complex application systems and find your way through them to debug a business impacting issue. You will follow standards and best practices to bring operational efficiencies, stability and availability of the system. You will use continuous delivery practices to evolve, support and deliver high-quality software, as well as value to end customers, as early as possible while working in collaborative, value-driven teams to build innovative customer experiences for our clients. You will leverage your knowledge regarding different logging techniques (various levels) and use them for alerting, monitoring and identifying the root cause of incidents. You will derive meaningful reports/key performance indicators and set up alerting and monitoring mechanisms for quicker identification of incidents and response. You will apply the latest technology thinking from our Technology Radar to solve client problems. Job qualifications Technical Skills You have experience working programming languages such as Java and .Net, an understanding of cloud platforms such as AWS, Azure or GCP and scripting languages such as Python and Powershell. You understand how to use debugging tools and how to troubleshoot issues with the code. You have experience working with relational or non-relational databases. You have experience working with CI/CD tools such as Jenkins or Azure pipelines. You have an exposure to application monitoring tools such as DataDog, Prometheus or Grafana . You are comfor