Data Architect

United StatesRemotefull-time

<h3>This is a remote position.</h3><div><b>Data Architect – AI &amp; Cloud Data Platforms</b><p>We are seeking a highly skilled <b>Data Architect</b> to design and lead the development of modern data ecosystems that support AI-driven solutions and client-facing applications. This role will be responsible for building scalable data architectures across cloud platforms, enabling advanced analytics, and supporting machine learning and AI initiatives.</p><p>The ideal candidate has deep experience with <b>AWS and Azure</b>, strong expertise in <b>data modeling and pipeline design</b>, and a proven ability to integrate data across platforms including BI tools and CRM systems such as DealCloud.</p><h3><b>Key Responsibilities</b><ul><li>Design and implement <b>scalable, cloud-based data architectures</b> across AWS and Azure</li><li>Develop and maintain <b>enterprise data models</b> (conceptual, logical, and physical)</li><li>Build and optimize <b>data pipelines (ETL/ELT)</b> to support analytics, reporting, and AI/ML use cases</li><li>Architect solutions that integrate data from multiple sources, including <b>CRM systems (DealCloud)</b> and third-party platforms</li><li>Partner with analytics teams to enable reporting through <b>Tableau and Power BI</b></li><li>Define and enforce <b>data governance, quality, and security standards</b></li><li>Design data frameworks to support <b>AI/ML workloads</b>, including feature engineering and model-ready datasets</li><li>Collaborate with application architects and engineers to ensure seamless <b>data integration within applications</b></li><li>Optimize performance of <b>data warehouses, data lakes, and real-time data processing systems</b></li><li>Evaluate and recommend tools and technologies to enhance the data ecosystem</li></ul><br></h3><h3>Requirements</h3><h3><b>Required Qualifications</b><ul><li>7+ years of experience in <b>data architecture, data engineering, or related roles</b></li><li>Strong experience with <b>cloud data platforms (AWS and/or Azure)</b></li><li>Expertise in <b>data modeling, data warehousing, and data lake architecture</b></li><li>Hands-on experience with <b>ETL/ELT tools and data pipeline design</b></li><li>Experience supporting <b>BI tools such as Tableau and Power BI</b></li><li>Strong SQL skills and experience with at least one programming language (Python preferred)</li><li>Experience integrating data from <b>CRM platforms (DealCloud or similar)</b></li><li>Understanding of <b>data governance, data quality, and security best practices</b></li></ul></h3><h3><b>Key Traits for Success</b><ul><li>Ability to translate business needs into <b>scalable data solutions</b></li><li>Strong collaboration skills across <b>engineering, analytics, and business teams</b></li><li>Strategic mindset with the ability to <b>design for future AI scalability</b></li><li>Strong attention to <b>data integrity, performance, and usability</b></li></ul><br></h3></div><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

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