Azure Senior Data Cloud Architect Jobs

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insi

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. We are hiring a Staff Security Engineer, Threat Detection for our Security team. This is a fully remote role open to candidates across the United States. As Snowflake scales globally, we are investing heavily in AI-powered threat detection and response to protect our customers and our environment at cloud scale. This role helps enhance and extend the reach of Snowflake's Threat Detection Program, with AI and automation as core primitives in how we detect, triage, and respond to threats. You will combine deep security expertise with strong engineering skills to build, maintain, and evolve detections and the pipelines that support them, partnering with stakeholders across Security and Engineering to make informed, data-driven decisions grounded in threat models, proactive threat hunts, and exploration of logs and telemetry. AS A STAFF SECURITY ENGINEER, THREAT DETECTION AT SNOWFLAKE, YOU WILL: Develop and deploy detections using modern engineering practices (testing and validation, CI/CD pipelines, detections as code, and a full detection development lifecycle), spanning both rules-based and AI-assisted detections. Mature our threat detection program by analyzing coverage gaps and mitigating risks through detective controls, experimenting with AI/ML approaches where they impr

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. WHAT WE OFFER Paid, full-time internships Post-internship career opportunities (full-time or part-time) Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class security experts on challenging, high-impact projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Treated as a full member of the Snowflake team: company meetings and activities, flexible hours, casual dress code, swag, and much more Warsaw office perks: catered lunches, access to recreational games, happy hours, company outings, and more WHAT WE EXPECT Must be actively enrolled in an accredited college/university program during the internship period Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field Required coursework: algorithms, data structures, and operating systems Recommended coursework: information security, cryptography, cloud computing, database systems, or distributed systems Duration: 4 months + recommended Strong programming skills in Python or Java Solid knowledge of data structures and algorithms; familiarity with

The Agent Research and Tooling team, part of MongoDB's AI Builder Experience organization, owns the platform layer around agents: how teams author, distribute, evaluate, monitor, and improve agent skills and agent behavior. We are hiring a software engineer to build and maintain the tooling, evaluation systems, and quality gates behind MongoDB's agent skills. This is a software engineering role at the intersection of developer tooling, applied AI, and software quality. You will take loosely defined agent and tooling problems, break them into workable plans, and ship durable internal systems: command-line tools, reusable libraries, evaluation harnesses, and CI workflows. This role is open to remote work in Canada or can be based out of any of our Canada offices. What you'll do Build and maintain agent skills and the infrastructure to validate, evaluate, publish, and maintain them Design evaluation datasets and workflows that compare agent behavior against a baseline and produce actionable quality signals Build agent metrics and observability: skill selection and routing, success and failure outcomes, tool calls, latency, and token usage Design safety and quality gates for agent-authored content: rule packs, static analysis, confidence thresholds, structured verdicts, and bounded suppression Create CLIs, libraries, and MCP integrations that other repositories adopt and that run in local development and CI Integrate tooling into GitHub Actions and other CI workflows, including secrets, annotations, exit codes, and artifacts Build code-generation quality checks, such as anti-pattern catalogs and linting for AI-generated MongoDB code Investigate real failures such as nondeterministic results, false positives, and unsafe generated guidance, and turn them into reusable improvements Collaborate with engineers, security partners, and product teams; communicate trade-offs, risks, and ownership across teams Examples of the problems you'll solve How can tests verify an agent to

At MongoDB, we are disrupting industries and equipping developers with the tools to create extraordinary applications that impact daily lives. As the leading developer data platform and the pioneering database vendor to execute an IPO in over two decades, we offer an environment at the cutting edge of creativity and innovation. The international data management software landscape is vast and expanding swiftly. Data from IDC indicates the global database management systems (DBMS) software market was valued at roughly $82 billion in 2023 and is projected to scale to approximately $200 billion by 2030, demonstrating an exceptional compound annual growth rate. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. The Role & Team Overview We are seeking an accomplished technical leader to join our Technical Services organization as the head of the EMEA Incident & Escalation Management teams. In this critical capacity, you will guide the teams responsible for ensuring our clients can smoothly operate MongoDB at scale and seamlessly navigate any technical hurdles. This position demands a leader who can maintain a hands-on approach—taking direct ownership of high-profile escalations that require coordinated corporate responses—while concurrently expanding the team, refining processes, and advancing strategic objectives within a global critical situations management framework. Team Overview: As an integral component of the Customer Organization, Technical Services boasts more than 500 global members across worldwide offices. We maintain industry-leading customer satisfaction metrics through a 24x7x365 'follow-the-sun' support framework, with specialized regional teams across the Americas, EMEA, and APAC. The EMEA team operates out of hubs including Dublin, Milan, Barcelona, and Tel Aviv. Core Responsibilities Collaborating with global leadership to architect and execute strategic plans for critical situations management,

FEQ425R228 As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. This is a Hybrid role, based in Mumbai. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and o

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Platform Engineer on Palantir's Identity Platform team, you will design, build, and operate secure-by-design identity infrastructure and tooling. You will make identity governance and access management easier and more secure to implement for Palantirians and customers worldwide. As part of Palantir's best-in-class Information Security organization, you will research, implement, and scale innovative solutions that help Palantir stay ahead of a dynamic threat landscape. You will help the team build the next-generation identity platform that treats agents and workload identities as first-class principals: the access graph that makes entitlements legible, the policy engine that makes authorization enforceable and auditable, and the token-issuance layer that keeps access short-lived, scoped, and least-privilege by default. Your work will shape the arc of these components from design to production. You will join the high-performing Identity Platform team, engineers who are passionate about delivering identity outcomes at scale that reduce risk and friction. The team builds and operates the identity platforms that serve both corporate and production (customer-facing) infrastructure, and the paved-road tooling and secure baselines that teams across Palantir deploy on. Your goal will be to make the secure path the easy path. Your work will directly strengthen the identity substrate beneath Palantir's most critical deployments, from a globally distributed workforce to regulated and air-gapped environments. Core Responsibilities Develop automation and tooling for corporate and customer-facing identity platforms Build, secure, and manage geo-r

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Platform Engineer on Palantir's Identity Platform team, you will design, build, and operate secure-by-design identity infrastructure and tooling. You will make identity governance and access management easier and more secure to implement for Palantirians and customers worldwide. As part of Palantir's best-in-class Information Security organization, you will research, implement, and scale innovative solutions that help Palantir stay ahead of a dynamic threat landscape. You will help the team build the next-generation identity platform that treats agents and workload identities as first-class principals: the access graph that makes entitlements legible, the policy engine that makes authorization enforceable and auditable, and the token-issuance layer that keeps access short-lived, scoped, and least-privilege by default. Your work will shape the arc of these components from design to production. You will join the high-performing Identity Platform team, engineers who are passionate about delivering identity outcomes at scale that reduce risk and friction. The team builds and operates the identity platforms that serve both corporate and production (customer-facing) infrastructure, and the paved-road tooling and secure baselines that teams across Palantir deploy on. Your goal will be to make the secure path the easy path. Your work will directly strengthen the identity substrate beneath Palantir's most critical deployments, from a globally distributed workforce to regulated and air-gapped environments. Core Responsibilities Develop automation and tooling for corporate and customer-facing identity platforms Build, secure, and manage geo-r

Technical Services has nearly 200 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. 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 team, leading a regional team of MongoDB ‘Fedramp’ Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s database functions to enable successful Fedramp customer implementations. Click here to learn more about our Technical Services team . We are looking for candidates who are comfortable working a Wednesday - Sunday or Saturday - Wednesday schedule. We're looking to speak with candidates based on the east coast and able to work EST 1st shift hours. Typical responsibilities of the team include: Diagnosing and resolving performance related issues Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community Working on named accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging

We are seeking an experienced and passionate BI Solution Architect to lead our Business Intelligence transformation initiatives. This role is responsible for: BI Practice Innovation Develop reusable accelerators. Optimize Power BI Service and workspaces—not just dashboards. Expedite the end-to-end development process, ensuring we do more with less. Lead programs that transform dashboard migration involving thousands of dashboards within a few months. Establish governance frameworks and best practices. Identify opportunities to automate repetitive BI development tasks. Build utilities using PowerShell, Power Automate, REST APIs, and Microsoft Fabric capabilities. Leverage AI-assisted development where appropriate. Explore Copilot and AI-driven features to improve productivity. Dashboard Modernization & Migration Lead migration of dashboards from legacy BI platforms such as Tableau, Qlik, Cognos, Business Objects, SSRS, MicroStrategy, and Excel to Power BI. Assess existing reporting environments and define migration strategies. Develop migration frameworks, templates, and automation utilities. Optimize migrated reports for performance, usability, and maintainability. Minimize business disruption during migration initiatives. Accelerator Development Design and maintain reusable accelerators that improve project delivery, including: Power Query transformation libraries Deployment automation scripts Report validation and testing frameworks Governance toolkits Metadata documentation generators Performance optimization checklists Migration accelerators Security and Row-Level Security (RLS) templates Continuously enhance accelerators based on project learnings and evolving best practices. Solution Architecture Design scalable enterprise Power BI solutions. Optimize DirectQuery, Import, Composite Models, and Hybrid Tables. Ensure solutions meet enterprise scalability, performance, and security requirements. Performance Optimization Diagnose slow reports and dataset

The database market is massive 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. Technical Services has nearly 200 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, 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 team, leading a team of MongoDB Cloud Support Engineers. Individuals in this team are experts in addressing issues related to MongoDB’s Cloud service, Atlas, to enable successful customer implementations at scale. We are looking to speak to candidates who are based in Sydney or Melbourne as this role will require working in the office 3 or more days a week. Roles and Responsibilities Diagnosing and resolving performance related issues Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team Increasing case-deflection numbers by contributing to knowledge-base, distributing know

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. 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 Performance tuning and benchmarking Extra bonus points if you have experience in one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl If you have an operations background, we prefer experience administering large-scale production environmen

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. Cool things you’ll do MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people. You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working 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. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem. What you need We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted. It’s important for candidates to check off these boxes: Systems engineering experience, including Linux

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. The Team The Auth0 Platform Tools team owns the incident management tooling, Slack-based tooling, StatusPage, and local development environments that Auth0 engineers rely on every day. That includes incident.io and the services we have built around it, Statuspage, custom Slack bot applications that automate our incident response and engineering operations workflows, the customer-facing web application behind status.auth0.com, Vivaldi, and Tilt - the tools engineers use to run Auth0 locally. We are seeking an engineer to help build new features across all of these tools. Our stack is primarily TypeScript and Node.js, with a React and Next.js front end, backed by Postgres and Redis, and deployed on Kubernetes on AWS. A significant portion of our incident and engineering operations automation is built on Tines, a no-code automation platform. Prior no-code experience is welcome, but we expect you to learn Tines here and become effective with it. Current initiatives include extending our incident tooling to meet FedRAMP requirements, taking full ownership of the status page, and improving how we communicate incident status to customers. There is real room to improve along the way, from test coverage to resilience to inherited technical debt. We build for two audiences: Auth0 engineers, who depend on our tooling every day, and Auth0's customers, who rely on the status page during incidents. We are looking for an engineer who cares about both and enjoys working wi

FEQ327R210 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world. Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. The impact you will have: You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications Collaborate with your fellow Solutions Architects, using your skills to support each other and our users Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role Experience building distributed data systems Comfortable programming in, and debugging, Python and SQL Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in one of the following: Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, pytorch,