Azure Senior Data Cloud Architect Jobs

As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. This role can be based out of our Dublin or Cork office or remotely in Ireland. What You'll Do Drive Program Planning & Execution – Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time Strengthen Production Reliability – Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement Lead Cross-Functional Coordination – Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts Build Scalable Systems & Processes – Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently Requirements 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs) Skilled at shaping roadmaps and managing dependencies Able to query and interpret

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in Amsterdam for our hybrid working model. About The Sales Culture MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you will bring to the table 4+ years field experience of quota-carrying experience in a fast-paced and competitive market Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients. A proven track record of overachievement and hitting sales targets Ability to articulate the business valu

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. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value. 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: Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform. Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs. Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements. Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations. Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams. Create executive-level summaries and insights that tie platform usage to business outcomes. Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing Who You Are: You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space. You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP)

We are searching for an ambitious Commercial Growth Account Executive. Your role will primarily be identifying new workloads to expand MongoDB's usage into accounts that are already leveraging our Database as a Service (DBaaS), Atlas, in a self-serve manner or sales-sold. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly dynamic sales team. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Day to Day: Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer data platform Support & retain customers throughout their journey, addressing any queries and ensuring optimal product usage Develop relationships within customer accounts to promote greater visibility and deepen the partnership between MongoDB and your account's decision-makers Strategically navigate diverse industries with a data-driven discovery and sales process to help land and expand customer workloads What you bring to the table: At least 1-2 years of Sales experience, full sales cycle in a closing role, with a preference for database or software Consistent record of meeting or exceeding targets in a highly competitive environment (top 10% performer) Dynamic, enthusiastic, tenacious, team-oriented mindset Excellent verbal and written communication skills Experience working within a quota and commission structure College degree or equivalent work experience High EQ, coachability, intellectual curiosity, and motivation to build a career at MongoDB Native Dutch sp

About The Sales Team MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. The Role As an Enterprise Account Executive, Acquisition you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end usersIdentify net-new customers through outbound prospecting Manage the full sales cycle for all MongoDB Products & ServicesDevelop and execute a strategic territory plan to achieve revenue targetsBuild a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and OutreachCollaborate with the sales ecosystem to drive sales initiatives and partnerships What You’ll Bring To The Role 3+ years of full-cycle sales experience, with an emphasis on closing new customersDemonstrated success with cold calling and creative pipeline generation strategiesA proven track record of overachievement and hitting sales targetsAbility to articulate the business value of complex enterprise technologyFluent in English Things We Love Passionate about growing your career in the largest market in software (database)Previ

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role As a Developer Support Engineer, you will serve as a key technical contact for customers using our Customer Identity SaaS platform. You will be responsible for end-to-end ownership of complex support cases, performing root-cause analysis, and delivering timely solutions to maintain high customer satisfaction. In this mid-level role, you will operate with minimal supervision, driving cross-functional collaboration and contributing actively to our internal technical knowledge base. Key Responsibilities Customer Success & Support: Support and maintain enterprise clients on our Customer Identity SaaS solution, resolving complex technical and non-technical issues with urgency and precision. End-to-End Issue Ownership: Take full ownership of incoming support tickets from intake to resolution—performing initial troubleshooting, identifying root causes, and implementing effective solutions. SLA & Escalation Management: Manage support ticket operational workflows to consistently meet or exceed response quality, time-to-resolution, and customer experience SLAs. Cross-Functional Collaboration: Partner effectively with Engineering, Product, and Customer Success teams to resolve high-priority escalations and improve overall product usability. Business & Technical Analysis: Apply software lifecycle knowledge and analytical techniques to troubleshoot integration issues, identify recurring trends, and champion best practices. Knowledge Sharing &a

MongoDB is looking for a highly accomplished, results-oriented individual with exceptional energy, intellectual curiosity, and entrepreneurial initiative to significantly expand our presence within the startup ecosystem. This AI Natives EAE role is critical for proactively identifying and cultivating strategic, net-new relationships with high-potential startup founders and executive decision-makers, while concurrently forging deep, impactful partnerships across the AI landscape, and expertly guiding complex sales cycles within an assigned territory. This role is deeply connected to MongoDB’s vision to become the Data Platform for AI, and you’ll be at the forefront of that mission. You will be focused on winning the fastest-growing organizations in the world’s most concentrated AI hub. We are looking to speak to candidates who are based in Zurich, Berlin, Munich and Frankfurt for our hybrid working model. What you will be doing Serve as a pivotal leader within MongoDB GTM, working cross-functionally with Marketing and Product Leadership directly influencing and driving MongoDB’s market penetration within the VC and startup ecosystem Architect and execute highly sophisticated, data-driven go-to-market strategies for the assigned AI Native territory, identifying key market segments and opportunities for exponential growth Drive executive-level engagement and influence within the startup community, with a particular focus on C-suite technical decision makers, visionary founders, and strategic investors Cultivate and maintain profound, long-term relationships with founders, VCs, key developers, and technical architects to (1) secure net-new logos within the startup ecosystem, (2) identify, establish, and mature strategic product and go-to-market partnerships, and (3) consistently exceed top-line revenue targets Develop and evangelize a comprehensive, expert-level understanding of MongoDB products, the competitive landscape, and partner technologies, positioning MongoDB a

About the role Join us as a Commercial Growth Account Executive! In this role, you'll manage the complete sales process and drive revenue growth in your assigned region of current customers. We're looking for a dedicated and motivated individual with a sales strategy and a go-getter attitude. Hard work, enthusiasm, and initiative are highly valued. MongoDB’s Sales Culture MongoDB is always developing and innovating — not only in our technology but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We equip you to be successful and close deals, and we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. What you will be doing Manage a book of business of several million dollars, responsible for growth and retention of high value accounts Proactively, identify, qualify, and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & developers Become a product expert and understand all components of MongoDB Manage your time efficiently Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 2+ years of field experience in quota-carrying experience in a fast-paced and competitive market. Demonstrated ability to open new accounts and generate qualified pipeline A proven track record of overachievement and hitting sales targets Ability to articulate the

Associate and Mid-Level Software Engineers Company: The Boeing Company The Boeing Company is looking for an Associate or Mid-Level Software Engineer to join our team in Berkeley, MO. Position Responsibilities: Lab Environment Provisioning: Design, provision, and maintain scalable lab environments on-premises and on cloud platforms (Azure, AWS) using Infrastructure as Code (IaC) tools such as Terraform and Ansible. Automated Integration Testing Orchestration: Develop and manage automated integration testing workflows that aggregate inputs from multiple program segments, ensuring comprehensive test coverage and timely feedback. Deployment Management: Manage and optimize automated deployment pipelines and mechanisms for both physical and virtual systems, ensuring reliable and repeatable software delivery. Data-Driven Feedback & Reporting: Orchestrate processes to collect, analyze, and deliver comprehensive feedback on product stability, performance, and integration issues to segment development teams, enabling continuous improvement. Collaboration & Communication: Work closely with cross-functional teams including development, QA, security, and physical lab team to align deployment strategies, testing requirements, and environment configurations. Security & Compliance: Integrate security best practices into provisioning, deploying, and testing processes, supporting compliance with relevant standards and frameworks. This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Berkeley, MO. Basic Qualifications (Required Skills/ Experien

Technical Services has over 500 team members in offices spanning the entire globe. The team operates out of 16 locations including offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, and Dublin. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions. We have an incredible opportunity for a transformational individual to join the MongoDB Technical Services organization, leading a regional team of MongoDB Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s ‘core’ database and the Atlas cloud managed platform that enable successful customer implementations at scale. We are looking to speak to candidates who are based in Palo Alto as this role will require working in office 3 or more days a week. Candidate Profile Required A minimum of five (5) years practical experience running a technical support team or organization, including experience coordinating high profile customer escalations, collaborating with other internal engineering departments, and working closely with sales teams Strong people management skills with a track record of building and managing individuals with a strong focus on customer experience and technical excellence Ability to think on your feet, remain calm under pressure, and solve problems in real-time Ability to lead-by-example with strong diagnostic and troubleshooting skills Adept at setting clear expectations for individuals to help strengthen specific skills and provide guidance for career development as well as serving the daily interrupt driven needs of a busy technical support organization Ability to understand customer business drivers and use cases A customer advocate who can mitigate and drive issues as appropriate Is comfortable engaging in hiring decisions, performance management, translating company and the organizat

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About Us: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. About the Role: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Staff Specialist, EHSS Data , you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making. You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices. Key Responsibilities Build the EHSS Trusted Data Foundation Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications. Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets. Define and maintain data-quality controls, validation rules, reconciliation processes, and techni

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy. Role Description: We are looking for engineers who want to play a key part in supporting the evolution of the Financial Services industry one project at a time. You will be expected to be a strong team player who prides themselves on delivering modern, first-class cloud based platforms through practicing best in class Agile ways of working at all times. Skills and Experience To qualify for the role you must have: Excellent knowledge of Java 8+, Spring Boot, Gradle, Maven, Mockito, Microservice architecture Excellent knowledge of Object-oriented programming and familiarity with functional programming languages Excellent understanding of collections and concurrency in Java Experience in working with restful APIs G

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle. Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation. Mentor and develop data professionals, fostering a culture of innovation, continuous learning. What We’re Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterpri

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! Buscamos uma pessoa Data Analyst com forte capacidade analítica e visão de negócio, confortável em trabalhar com dados para além da criação de relatórios e extrações SQL. Essa pessoa será responsável por avaliar a qualidade dos dados, desenvolver indicadores, estruturar frameworks de medição e transformar objetivos de negócio em resultados mensuráveis. A função atuará em parceria com stakeholders, equipes de produto, tecnologia e dados para gerar insights e apoiar decisões estratégicas. Principais responsabilidades Explorar, analisar e interpretar dados provenientes de diferentes fontes. Avaliar a qualidade, integridade, completude, consistência e atualidade dos dados. Identificar anomalias, lacunas e problemas que possam comprometer análises ou decisões. Desenvolver KPIs, métricas e frameworks de medição alinhados aos objetivos de negócio. Traduzir metas e necessidades de negócio em indicadores claros e mensuráveis. Definir critérios, regras e estratégias para identificação, análise e tratamento de registros duplicados. Validar regras de consolidação, correspondência e priorização de registros. Criar relatórios, dashboards e análises que apoiem decisões operacionais e estratégicas. Monitorar tendências, padrões de comportamento e variações relevantes nos dados. Medir a adoção de produtos, plataformas, funcionalidades e novos processos. Avaliar o valor gerado por iniciativas por meio de métricas de impacto, eficiência e resultados. Estabelecer baselines, metas e mecanismos de acompanhamento de desempenho. Comunicar descobertas e recomendações de forma clara para públicos técnicos e não técnicos. Document