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Data and Integration Solution Designer Jobs

3661 Job Offers

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Data Engineer
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United States , Washington, D.C.
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79600.00 - 133800.00 USD / Year
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cBEYONData
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Tracking Specialist, Data Platform Team
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Spain , Barcelona
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DocPlanner GmbH
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Solution Architect (.NET)
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Poland , Kraków or Wrocław
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190.00 PLN / Hour
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Cyclad Sp. z o.o.
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Senior Microservices Backend Engineer
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India , Hyderabad
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Amgen
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Data Architect
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United Arab Emirates , Abu Dhabi
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Andersen
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Senior Learning Experience Designer
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United States , Chicago
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Adyen
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Enterprise Data Architect
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United States , Columbus
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167000.00 - 184000.00 USD / Year
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Abercrombie & Fitch Co.
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Lead Data Engineer
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India , Noida
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3Pillar Global
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Data Engineer
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United States , Woodcliff Lake, New Jersey
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Techstar Consulting
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Salesforce System Engineer
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United States , Manchester
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150000.00 - 165000.00 USD / Year
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Sequel Med Tech
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Admissions CRM Administrator
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United States , Los Angeles
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32.50 - 33.65 USD / Hour
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SCI-Arc
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Process Automation & Integration Engineer
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United States , Brooklyn
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130000.00 - 165000.00 USD / Year
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Premium Health
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Mes Solution Engineer
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United States , San Jose
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190000.00 - 220000.00 USD / Year
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Archer Aviation
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Network Engineer
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United States , Colorado Springs
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100000.00 - 185000.00 USD / Year
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Applied Network Solutions
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Salesforce Solution Architect
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Belgium
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Inetum
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Senior Cloud Developer
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India , Pune
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Hewlett Packard Enterprise
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Python Data/ML/AI Engineer
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United States , Tampa
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Robert Half
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Salesforce Solution Architect
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Belgium
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Inetum
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Data Engineering Lead
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India , Pune
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Citi
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SAP FI/CO Consultant
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Portugal , Lisboa
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Fyld
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Explore Data and Integration Solution Designer jobs and discover a pivotal career at the intersection of technology and business strategy. Professionals in this role are the master architects of an organization's data connectivity, designing the blueprints that allow disparate systems, applications, and data sources to communicate seamlessly. Their core mission is to break down data silos, enabling a free, secure, and reliable flow of information that powers analytics, operational efficiency, and informed decision-making across the enterprise. A Data and Integration Solution Designer typically translates high-level data architecture and business requirements into practical, implementable designs. Common responsibilities include analyzing existing IT landscapes, defining integration strategies, and creating detailed solution designs for data pipelines, APIs, and messaging systems. They develop reusable patterns, standards, and frameworks to ensure consistency, security, and scalability. Collaboration is central to the role; they work closely with enterprise architects, software engineers, data engineers, and business stakeholders to ensure solutions are technically sound and meet functional needs. Furthermore, they are custodians of data governance and security, embedding principles like data quality, lineage, and compliance into every design. The typical skill set for these roles is both broad and deep. A strong foundation in integration methodologies—such as ETL/ELT, API-led connectivity, service-oriented architecture (SOA), and event-driven patterns—is essential. Proficiency with cloud platforms like AWS, Azure, or GCP and their native integration services is increasingly standard. Technical knowledge often extends to tools for API management, enterprise service buses, and data integration suites. Beyond technology, successful designers possess excellent analytical and problem-solving abilities to navigate complex environments. Crucially, they have outstanding communication skills to articulate technical designs to diverse audiences and bridge the gap between technical teams and business leaders. For those seeking Data and Integration Solution Designer jobs, a background in software development, data engineering, or systems architecture is common. Employers typically look for experience in designing solutions within large, complex organizations and a proven ability to think strategically while delivering practical results. This career offers the opportunity to shape the digital backbone of modern businesses, making it a critical and rewarding path for those passionate about data-driven transformation.

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