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Data and Integration Architect Jobs

1354 Job Offers

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Customer Solutions Architect
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United Kingdom , Nottingham
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50000.00 GBP / Year
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Microlise
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Enterprise Architect
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Admiral Group Plc
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SAP Architect - QM/PP-PI
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India , Hyderabad
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Amgen
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Director, Cloud and DevOps Platforms
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United States , Palm Beach Gardens; Remote City
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174250.00 - 243750.00 USD / Year
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Beretta Clima Italia
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Manufacturing Process Engineer III
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United States , Redmond, WA
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113000.00 - 145000.00 USD / Year
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Sigma Design
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Physical identity domain architect
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Netherlands , Veldhoven
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ASML
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Solution Architect Specialist
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Hungary , Budapest
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Plusnet
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Software Solution Architect
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Binariks
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Senior Software Developer Front End
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Canada , Toronto
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Randstad
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Director, Revenue Operations
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United States
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171976.00 - 206371.00 USD / Year
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Babylist
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Control Systems Engineer III
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United States , Camas, WA
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110000.00 - 140000.00 USD / Year
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Sigma Design
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Software Project Manager
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Belgium , Brussels
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Sopra Steria
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Senior Technical Architect
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United States , Bellevue
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102700.00 - 185300.00 USD / Year
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T-Mobile
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FLEX Senior Solutions Architect
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United States , Bethesda
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83.17 - 101.11 USD / Hour
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Marriott Bonvoy
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Explore Data and Integration Architect jobs and discover a pivotal career at the intersection of technology and business strategy. Data and Integration Architects are the master planners of an organization's information ecosystem. They design the blueprints and frameworks that ensure data flows securely, reliably, and meaningfully across diverse systems, enabling informed decision-making and seamless digital experiences. This role is less about hands-on coding and more about high-level design, setting standards, and providing the strategic vision that turns data into a cohesive, accessible asset. Professionals in these roles typically shoulder a broad set of responsibilities. They define and drive the overarching data and integration strategy, ensuring alignment with business goals and technological capabilities. A core duty is data modeling, creating conceptual, logical, and physical models that define how data is structured, stored, and related across the enterprise. They design the architecture for application programming interfaces (APIs), event-driven systems, and ETL (Extract, Transform, Load) processes, establishing the pathways for system communication. Furthermore, they establish data governance frameworks, championing data quality, security, privacy, and compliance standards. They collaborate extensively with stakeholders—from product managers and software engineers to business analysts and executives—to translate requirements into robust, scalable technical solutions. Mentoring teams and making critical technology selections for databases, data warehouses, and integration platforms are also common aspects of the job. The typical skill set for Data and Integration Architect jobs is both deep and wide. A strong foundation in data modeling principles and methodologies is essential. Expertise in various database technologies (SQL, NoSQL) and cloud data platforms (like AWS, Azure, GCP services) is required. Proficiency in API design (REST, GraphQL) and modern integration patterns (including event streaming with tools like Kafka) is crucial. These roles demand a solid understanding of data warehousing, business intelligence, and analytics concepts. Beyond technical acumen, successful architects possess exceptional communication and leadership skills, as they must articulate complex designs to diverse audiences and influence technical direction. Problem-solving, strategic thinking, and a balance of long-term vision with practical implementation are key traits. Typically, employers seek candidates with a bachelor’s degree in computer science or a related field, coupled with substantial experience in data management, software architecture, or systems integration. For those seeking to shape the digital backbone of modern enterprises, Data and Integration Architect jobs offer a challenging and rewarding career path. It is a role dedicated to building order from complexity, ensuring that an organization's most valuable asset—its data—is integrated, trustworthy, and ready to power innovation.

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