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Data Architect / Technical Lead Jobs (Remote work)

241 Job Offers

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Architect 4, Software Architecture
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United States , Remote
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90695.14 - 212566.73 USD / Year
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Comcast Advertising
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Data Solution Architect
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Admiral Group Plc
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Principal SAP Data Enablement Architect
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United States , Remote
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113930.00 - 170900.00 USD / Year
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Lamb Weston
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Principal SAP Data Integration Architect
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United States , Remote
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113930.00 - 170900.00 USD / Year
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Lamb Weston
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Technical Architect
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Actian
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Lead Data Engineer
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United States
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185000.00 - 225000.00 USD / Year
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Zora
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Azure Data Architect
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United States
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Sparibis
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Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI
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United States
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161000.00 - 268300.00 USD / Year
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Rackspace
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Solution Architect Lead
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Rackner
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Data Architect / Technical Lead
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USA
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Pronix
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D&A Domain Architect - Snowflake
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Spain , Mollet del Valles, Barcelona
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MilliporeSigma
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Cloud Solution Architect
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Mexico
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Lingaro
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Data Architect
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United States
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InData Labs
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Sfcc Technical Lead
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Grinteq
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Staff Solutions Architect
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United States , Central United States
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190000.00 - 275000.00 USD / Year
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dbt Labs
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Senior Presales Architect
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United States , All, Virginia
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146000.00 - 343000.00 USD / Year
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Hewlett Packard Enterprise
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Data Architect
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Poland , Warsaw
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Inetum
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Data Architect
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Poland , Warsaw
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Inetum
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Senior Presales Architect
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United States
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141000.00 - 332000.00 USD / Year
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Hewlett Packard Enterprise
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Senior Principal Technical Program Manager - Data Platform
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United States , San Francisco
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191600.00 - 307800.00 USD / Year
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Atlassian
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Explore high-impact Data Architect / Technical Lead jobs and discover a pivotal role at the intersection of data strategy, technology leadership, and business transformation. This senior hybrid position is designed for professionals who excel at both crafting visionary data blueprints and leading technical teams to execute them. Data Architects / Technical Leads are the master planners and builders of an organization's data ecosystem, responsible for ensuring that data is treated as a secure, reliable, and valuable enterprise asset. Professionals in these roles typically shoulder a dual mandate. As Data Architects, they design and govern the overarching data framework. This involves developing comprehensive data models, defining data standards and policies, and architecting scalable data warehouses, lakes, or lakehouses. A core responsibility is establishing robust data governance and master data management (MDM) programs to ensure data quality, consistency, and a single source of truth across the organization. They select and integrate appropriate technologies, from ETL tools and databases to cloud platforms and data catalog solutions, to build a cohesive infrastructure. Concurrently, as Technical Leads, they provide hands-on leadership to engineering and analytics teams. They translate high-level architectural visions into actionable technical tasks, mentor data engineers and analysts, and oversee the agile development lifecycle of data products. They are the key liaison between executive stakeholders, business units, and the technical team, ensuring that data initiatives align with strategic business goals. Their leadership ensures projects are delivered on time, within scope, and to the highest technical standards. Typical skills and requirements for Data Architect / Technical Lead jobs are extensive. Candidates generally need a strong foundation in data modeling (conceptual, logical, physical), SQL, and expertise in modern data stack components (cloud platforms like AWS, Azure, or GCP are often essential). Deep knowledge of data governance, MDM, data security, and compliance is critical. On the leadership side, proven experience in project/program management, agile methodologies, team mentorship, and stellar communication skills are non-negotiable. Most positions require a significant tenure in IT, with several years specifically dedicated to data architecture and people or technical leadership. For those seeking to shape an organization's data destiny while guiding the team that brings it to life, Data Architect / Technical Lead jobs represent the pinnacle of a data career, offering both strategic influence and tangible technical impact.

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