Azure Senior Data Cloud Architect Jobs

Please note we are looking to speak to individuals already based in the Doha as a first priority. Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Data Engineer (Snowflake) Location: Doha | Practice Area: Data & Analytics | Type: Permanent Shape the future of data platforms by delivering modern, cloud-native engineering solutions that enable leading financial institutions to unlock the full value of their data. The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for a Senior Consultant Data Engineer with strong Snowflake expertise to join our growing Data & Analytics practice in Doha. You will work closely with clients to design, build and optimise modern cloud-based data platforms, enabling advanced analytics, regulatory reporting and data-driven decision-making. As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture. What You'll Do Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and mod

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 looking for a talented and passionate Senior Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A SENIOR SOFTWARE ENGINEER, YOU WILL: ● Design and develop features, understand customer requirements and meet business goals. ● Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. ● Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. ● Build highly reliable and fault-tolerant software to meet the needs of the largest customers. ● Ensure operational readiness and ma

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 소개 Snowflake는 에이전틱 엔터프라이즈(Agentic Enterprise) 시대를 이끌어가고 있습니다. 이러한 새로운 시대를 함께 만들어가기 위해, 우리는 모든 분야에서 AI 네이티브(AI-Native) 사고방식을 갖춘 인재를 찾고 있습니다. 단순히 AI 도구를 사용하는 수준을 넘어, AI를 신뢰할 수 있는 협업 파트너로 활용하며 문제 해결과 성과 창출을 가속화할 수 있는 사람을 기대합니다. 우리는 빠르게 변화하는 역동적인 환경에서 겸손한 자세로 협업하고, 실험적인 사고방식을 바탕으로 새로운 기술을 빠르게 검증하며 보다 단순하고 강력한 방법으로 성과를 창출하는 인재를 선호합니다. Snowflake에서 여러분의 역할은 단순히 주어진 업무를 수행하는 것이 아니라, 미래의 업무 방식 자체를 새롭게 정의하는 데 기여하는 것입니다. 포지션 소개 Senior Solution Engineer는 한국 내 기존 엔터프라이즈 고객을 담당하는 전략적 기술 리더 역할을 수행합니다. 주요 담당 산업은 제조산업(Manufacturing) 및 Hi-Tech 부문입니다. 본 포지션은 Account Executive와 긴밀하게 협력하여 고객의 Snowflake 활용도 증대, 워크로드 확장, 그리고 다양한 사업 부문(Line of Business)으로의 성장을 지원합니다. 또한 고객사의 기술 및 비즈니스 의사결정권자들에게 신뢰받는 기술 자문가(Trusted Advisor)로서, Snowflake를 데이터, 분석 및 AI 전략의 핵심 플랫폼으로 활용할 수 있도록 안내합니다. 이 역할은 고객 중심(Customer-First)의 대외 활동(Field-Facing) 포지션으로, 깊이 있는 기술 역량과 산업에 대한 이해, 그리고 영향력 있는 아키텍처를 설계하고 효과적으로 전달할 수 있는 능력을 요구합니다. 주요 업무 (Key Responsibilities) 기존 고객 계정 활용 확대 (Drive Adoption in Existing Accounts) 한국 내 Snowflake 고객 포트폴리오에 대한 기술 확장 전략을 수립하고 주도합니다. 고객의 비즈니스 목표를 파악하고 이를 Snowflake AI Data Cloud를 통해 실현할 수 있는 워크로드, 활용 사례(Use Case), 사업 부문과 연결합니다. 솔루션 설계, 데모 및 POC 수행 (Solution Design, Demos & POCs) 고객의 아키텍처 및 활용 사례에 최적화된 데모와 기술 스토리를 설계하고 제공합니다. 성공 기준 정의 및 공동 실행 계획 수립을 포함하여, 플랫폼 도입 가치를 검증하고 의사결정 리스크를 최소화하

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’re hiring a talented Senior Software Engineer to help us build a world-class security experience for Snowflake engineers. As an engineer in the Product Security team, you will play a central role in delivering the next generation of tools used by our engineers to develop and secure our flagship product. Together with industry-wide experts in distributed systems, cross-cloud development and security excellence, you will evolve our security infrastructure and tooling to be elastic, large-scale, and highly performant with simplicity at its core. As a software engineer in the Product Security Team, you will help Snowflake realize its mission and vision of becoming the premier Data Cloud by accelerating the delivery of our high-quality software to production. You will be a key stakeholder in driving clarity on our strategy and partner with product managers to chart the quarterly and long-term roadmaps for the team. You will ensure that the team is executing towards serving the current needs of its customers, while ensuring that we stay ahead of technological trends and future demands, including AI security and security for AI-driven systems. Our ideal Senior Software Engineer will have: Strong passion for making developers highly productive. 6+ years of industry experience de

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives. Responsibilities: Build data processing and exploration pipelines along with ML infrastructure to power our intelligence Deploy a range of cloud-based technologies for critical projects Write, test, instrument, and deploy code to our Kubernetes environment Help drive the innovation and evolution of ZipRecruiter Minimum Qualifications: 2+ years of professional software development experience with a focus on Python and big data technologies Experience with Spark, Kafka, Hadoop, Hive, and/or

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 looking for a visionary Director of Traffic and Networking to lead the group responsible for the very circulatory system of our global cloud infrastructure. The Mission Every query, every login, every byte of data in Snowflake's Data Cloud travels through the systems this team builds. The Traffic & Networking group is responsible for the ingress, egress, domain management, and internal networking layers that connect thousands of customers to Snowflake across public and private connectivity paths. We build and deploy software to enable seamless service-to-service and user-to-service communication across all traffic types spanning every environment and cloud provider Snowflake touches. Your goal is to ensure robust domain management, efficient traffic flow, and reliable connectivity while relentlessly improving product velocity, and operational efficiency. What You Will Do As a senior engineering leader at Snowflake, you will be expected to: Set the Strategic Vision: Define the roadmap for Snowflake’s networking foundation and be accountable for the execution of complex plans and deliverables. Scale Infrastructure: Guide your team in building software solutions that automate and scale networking across multiple cloud providers including AWS, Azure, and GCP. Drive I

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Position Purpose: We are seeking a highly skilled Senior Data Engineer to design, build, and optimize our data pipelines and backend services. The ideal candidate will have a strong foundation in Java and API development, with deep expertise in MongoDB and cloud infrastructure to ensure scalable and high-performance data design. We are looking for top-notch, energetic talent to keep up with the industry’s momentum and support the Development efforts . The candidate should be able to independently design, build, debug, maintain, and enhance Data solutions w

Work Experience Required: 8 - 12 Years Experience in programing (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 client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build

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 Projetar, desenvolver e manter mappings, mapping tasks e taskflows utilizando Informatica IDMC/CDI; Desenvolver pipelines de ETL/ELT para integração de diferentes fontes e destinos; Implementar processos de ingestão, transformação e distribuição de dados; Desenvolver SQL de média e alta complexidade para transformação, análise e validação de dados; Utilizar Python para automações, integrações, validações e processamento de dados; Implementar parametrização e componentes reutilizáveis em pipelines IDMC; Realizar troubleshooting e análise de causa raiz de falhas em processos de integração; x Implementar mecanismos de tratamento de erros, logging, restart e recuperação de processos; Realizar performance tuning e otimização de pipelines e consultas; Implementar validações, reconciliações e controles de qualidade de dados; Integrar soluções com APIs REST/SOAP, bancos de dados, arquivos e aplicações; Participar de processos de deployment e CI/CD; Elaborar documentação técnica e apoiar a definição de padrões de desenvolvimento; Participar do levantamento e refinamento de requisitos junto ao cliente e stakeholders; Apoiar tecnicamente profissionais mais juniores. Requisitos: Experiência prática com Informatica IDMC/IICS e Cloud Data Integration (CDI); Experiência sólida com desenvolvimento de processos ETL/ELT; SQL avançado; Experiência com Python; Experiência com bancos de dados relacionais e Data Warehouses; Conhecimento de Data Lake e arquiteturas Lakehouse; Experiência com integrações via REST APIs e/ou SOAP; Conhecimento de Git e processos de

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications. Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment. The Role As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You’ll drive customer retention, revenue realization, and long-term advocacy while mentoring team members to elevate the organization's collective impact. You’ll build deep relationships with senior stakeholders, understand intricate technical environments inside and out, and navigate global account teams to deliver measurable impact in high-pressure scenarios. We are looking to speak to candidates who are based in Hongkong for our

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications. Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment. We are looking to speak to candidates who are based in Austin, Texas for our hybrid working model. The Role As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You’ll drive customer retention, revenue realization, and long-term advocacy while mentoring team members to elevate the organization's collective impact. You’ll build deep relationships with senior stakeholders, understand intricate technical environments inside and out, and navigate global account teams to deliver measurable impact i

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications & Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata

Manager, Sales Development About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. The Opportunity: We are seeking a dynamic, results-driven leader with exceptional energy, passion, and initiative to oversee a team of Sales Development Managers for MongoDB, the world’s fastest-growing database.As the Manager of Sales Development, this role will emphasize developing top-tier talent, driving team performance, and advancing sales pipeline goals to support MongoDB’s continued momentum. Qualified candidates will be based in our Kuala Lumpur office and are open to a flexible, hybrid work schedule that includes regular in-office collaboration. Day to Day Attract, hire, retain, and develop talent Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology. Be involved in prospect qualification and discovery calls/meetings Provide weekly team performance summary as well as timely and accurate forecast to senior management based Cross functional collaboration to establish

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

We are seeking a highly skilled and hard-working Senior Test Developer / test engineer to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with strong expertise in cloud infrastructure and distributed systems and want to apply your skills with AI tools, this role could fit you perfectly. You will thrive in an exciting, innovative environment. What you'll be doing: Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop key benchmarks to track execution and deploy process improvements to improve efficiency Leverage AI skills to expedite the test scope, test plan, execution and automation workflows. Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas. Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed. Perform performance, scalability, and reliability testing of cloud services. Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues. Working with tea