Azure Senior Data Cloud Architect Jobs

Software Engineer Job Description About the Role: We are seeking a talented and motivated Software Engineer to join our dynamic team. As a Software Engineer, you will play a crucial role in designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to deliver innovative products that meet the needs of our users. Responsibilities: Design, develop, and implement software solutions using various programming languages and technologies. Write clean, efficient, and well-documented code. Conduct thorough testing and debugging to ensure software quality. Collaborate with other team members to brainstorm ideas and solve problems. Stay up-to-date with the latest technologies and industry trends. Participate in code reviews and provide constructive feedback. Troubleshoot and resolve technical issues. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Strong programming skills in at least one of the following languages: Java, Python, C++, or JavaScript. Experience with software development methodologies (Agile, Scrum, etc.). Knowledge of database systems (SQL, NoSQL). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Experience with cloud platforms (AWS, Azure, GCP) is a plus. What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and supportive work environment. The chance to work on cutting-edge projects. If you are passionate about technology and want to contribute to innovative projects, we encourage you to apply. To Apply: Please submit your resume and cover letter to [email protected] Please note that this is a general job description and may vary based on the specific requirements of the company and role.

Data Science & Engineering Lead Lead the charge in AI and data innovation as our Data Science & Engineering Lead . Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits. In This Role, You Will: Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems. Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet. Drive NLP advancements with tools like NLTK and neural-based language models. Oversee the development of computer vision models, utilizing OpenCV for real-world applications. Lead time-series modeling projects for forecasting and anomaly detection. Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance. Build and maintain scalable data pipelines for both streaming and batch processing. Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures. Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation. Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL. Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data. Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka. Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagem

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance, or eligibility to obtain one. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and

Job Description: We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data-driven applications. This role requires a deep understanding of Python, web development frameworks, data processing, and database management. Roles and Responsibilities: Core Python: Be proficient in the concepts and features of the Python language , experienced with web frameworks like Flask and FastAPI for developing RESTful APIs, and skilled in asynchronous programming using asyncio. Experience with handling concurrent connections and optimizing I/O operations. Should have a deep understanding of microservices architecture and be capable of writing clean, efficient, and maintainable code. Security Best Practices and Requirements Understanding of security practices for microservices, including authentication, authorization, and encryption. Experience with securing APIs using OAuth, JWT, and API gateways. Web Framework Development: Design, develop, and maintain scalable web frameworks using Python. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Ensure the web frameworks are secure, performant, and maintainable. Have a sound knowledge of one or more web frameworks that are based on Python, such as Django, Flask, Pyramid, etc. Should have the know how to use the framework's features, such as routing, templating, database integration, authentication, testing. Object Relational Mappers (ORMs): Develop backend systems to serve datasets through APIs and other interfaces. Implement data access layers, integrating with various databases and data storage solutions. Optimize backend code for performance, scalability, and reliability. Be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provi

Who are we? Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation. With 1,700+ experts across 25+ offices worldwide , Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value. At Artefact Casablanca , you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship. If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you. Your Role As a Manager Data Engineering , you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams. You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms. Your Responsibilities Lead Data Engineering Projects Lead the design and delivery of modern cloud data platforms. Define scalable architectures aligned with business and technical requirements. Ensure engineering excellence, code quality, security and performance. Drive best practices across Data Engineering, DevOps and MLOps. Manage & Grow Teams Lead, mentor and coach a team of Data Engineers. Support consultants in their technical development and career progression. Foster a collaborative, high-performance and knowledge-sharing culture. Participate in recruitment, onboarding and capability building. Partner with Clients Act as a trusted advisor for clients throughout their data trans

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: Partner with public sector clients to deeply understand their challenges and define AI-driven solutions Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models Participate in customer engagements, including occasional travel (approximately two weeks per quarter) Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) 7+ years of post-graduation engineering experienc

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you. Role: ALDS Mandate Skills & Competencies: Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and c

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 We’re looking for Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, across both cloud & on-prem environments. Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll be the experts for the environments that you operate infrastructure in, helping partner teams build & configure their software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Maintaining availability of cloud & physical Linux servers that power the Palantir platform in air-gapped production environments Design, deploy, and operate infrastructure to support customer & product requirements via modern orchestration & monitoring platforms. Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments. Identifying, troubleshooting, and solving network & systems issues Scripting to automate away routine operational tasks Provide technical troubleshooting support for production issues, ensuring timely resolution and m

Présentation du poste : Au sein de l’équipe Data Analytics d'Artefact, vous rejoignez un pôle clé couvrant le dashboarding, l'analytics engineering, la mesure marketing et le low-code data science. En tant que Manager, vous intervenez auprès de grands comptes pour piloter des projets d'analyse de données stratégiques, définir des architectures de mesure robustes et faire croître nos expertises. Ce qu’on attend de vous : En tant que Manager, vous garantissez l'excellence opérationnelle et la qualité des livrables sur des projets pluridisciplinaires (data analysts, consultants, software engineers, data scientists). Vous jouez un rôle central dans le cadrage d'offres avancées, la conduite des avant-ventes (pitches) et l'encadrement des équipes, tout en faisant rayonner l'expertise Data Analytics d'Artefact sur le marché. Vos missions : Piloter la réalisation de projets Data Marketing & Analytics complexes : déploiement d'outils de mesure (online/offline), projets de modélisation avancée, CDP, MMM et Clean Rooms. Encadrer des équipes pluridisciplinaires et veiller au respect des plus hauts standards de qualité, de rigueur et d'automatisation (scripting, reporting, développement d'outils). Définir la stratégie et la feuille de route de l'offre Data Analytics : formaliser les meilleures pratiques, développer des méthodologies de mesure innovantes et animer la communauté d'experts. Porter la dimension Data Analytics lors des phases d'avant-vente (pitches) et auprès des décideurs clients pour positionner Artefact comme un partenaire stratégique sur le long terme. Développer l'expertise technique et analytique interne : tester de nouvelles approches (ex. GenAI appliquée à l'analytics, MCP pour la BI, interfaces conversationnelles), créer des accélérateurs et former les équipes. Mentorer les collaborateurs, assurer le suivi des compétences et garantir un environnement de travail collaboratif et exigeant. Profil recherché : Expérience & Leadership : 5 ans ou plus d'exp

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. Snowflake is building the most powerful AI Data Cloud in the world — and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions, intelligent search, and the next generation of AI-powered experiences on the Snowflake platform. We're looking for a Software Engineer — AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of organizations worldwide. If you're passionate about building production AI infrastructure at scale and want to work alongside world-class engineers on problems that matter, this is the role. AS A SOFTWARE ENGINEER — AI, YOU WILL: Design, develop, and ship AI-powered features and services — working across model inference, AI functions, retrieval systems, and intelligent application experiences on the Snowflake platform Build production-quality infrastructure for AI workloads — including model serving, embedding pipelines, retrieval-augmented generation (RAG), and AI-driven automation Write clean, performant, and well-tested code in languages like Python, Java, C++, or Go — contributing to systems that operate at enterprise scale across Snowflake's multi-c

Staff Software Engineer Sureify is on a mission to modernize the life and annuity insurance industry. Composed of 250+ insurance veterans, technology experts, and creatives, Sureify offers its employees a unique opportunity to advance a powerful industry that has fallen behind digitally. Sureify’s product suite, Lifetime, solves some of the biggest problems faced by life and annuity carriers today when it comes to digital sales (LifetimeACQUIRE), customer engagement (LifetimeENGAGE), policy servicing (LifetimeSERVICE), and enabling agents (LifetimeAGENT). Sureify’s CoreCONNECT platform is the digital experience engine for the life insurance & annuity industry. Our products enable our clients to reach new customers, digitize the policy sales process, drive in-force customer engagement, and modernize the policy servicing experience. We are looking for a Staff Software Engineer to act as a technical leader and a highly experienced Full Stack Web Developer who is motivated to combine the art of design with the art of programming. This role requires driving technical strategy and system architecture while maintaining hands-on coding responsibilities. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works. On the backend, you will have the opportunity to help our product scale and be involved in the further architecture of the Sureify platform. Responsibilities Design, develop, and maintain robust web applications using React on the frontend and Golang/Typescript/PHP on the backend. Build reusable code and libraries for future use. Build a scalable architecture to support millions of users. Design schema migrations, optimize complex queries, and ma

Title: Fullstack Application Engineer (Support) (US shift) (or Fullstack Software Engineer (Support)) About Sureify: Sureify is dedicated to modernizing the life insurance and annuity industry. We provide cutting-edge digital solutions that empower insurers to easily engage with, sell to, and service their customers. Our mission is to drive meaningful digital transformation by offering scalable technology that enhances customer engagement and streamlines carrier operations. Sureify's products deliver the advanced digital experiences that life insurance carriers, agents, employees, and consumers now expect in this rapidly evolving technological landscape. AtSureify, we cultivate a culture that prioritizes innovation, collaboration, and continuous learning. About the Role: Are you ready to be part of a dynamic and growing agile software company? At Sureify, we’re helping a large and critical industry -- life insurance -- modernize and innovate. We build digital solutions for some of the world’s leading insurance companies, and we need your help to provide production support for our SaaS products. Sureify’s success depends on our ability to provide world-class support to our customers and to make sure they are receiving tremendous, continuous, and progressive value from the products. We are looking for a seasoned software engineer with Full Stack Web dev/support experience. Your primary responsibility will be to provide application support of Sureify SaaS products. You will play the role of an expert in Sureify SaaS products and technologies in troubleshooting production issues and also provide timely and effective communication to customers. Responsibilities: Develop and maintain deep expertise in Sureify SaaS products. Troubleshoot and resolve incoming support cases. This includes identifying root causes of issues, providing workarounds or solutions, and collaborating with other teams to resolve complex prob

What if the software you developed directly enabled some of the nation's most critical missions? As a Senior Software Developer, you'll do more than write exceptional code, you'll help build innovative, secure, and scalable solutions that support Intelligence Community operations. If you're passionate about modern software engineering, enjoy collaborating in Agile teams, and thrive on solving complex technical challenges, Leidos wants to hear from you. On the Maru Program, you’ll join a high-performing team where your ideas are valued, your technical expertise is trusted, and your work has a tangible impact. Working alongside software engineers, architects, DevSecOps engineers, cybersecurity professionals, and mission stakeholders, you'll develop next-generation applications that deliver mission-critical capabilities in a fast-paced Agile environment. This is your opportunity to build cutting-edge software while contributing to work that truly matters. What You'll Do As a Senior Software Developer, you'll play a key role in designing, developing, testing, and deploying secure, scalable applications that support enterprise and mission operations. Please note Gaithersburg, MD is the program’s primary work location. Clearance Level Required: Active Top Secret/SCI with the ability to successfully pass a Polygraph examination. Primary Responsibilities: Design, develop, test, deploy, and maintain enterprise software applications using modern development practices. Collaborate with Product Owners, Scrum Masters, architects, and fellow developers to deliver high-quality software in Agile sprints. Participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives. Develop clean, maintainable, and

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As a software engineer on the AI Solutions team, you will co-lead customer engagements with an AI Solutions Strategist . The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness. This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage. What You’ll Do Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost. Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers. Create and maintain solution architecture artifacts: System context and data flow diagrams Integration plan across Ramp and customer systems Security model covering permissions, access patterns, and au