Senior Data Architect

<div class="content-intro"><p><strong>At Adaptive, we’re Powering the Age of Immune Medicine. </strong>Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated.</p> <p>As an Adapter, you’ll have the opportunity to make a difference in people’s lives. With Adaptive, you’ll create a <span style="text-decoration: underline;">career highlight</span> through collaboration with bright, curious colleagues working at the apex of innovation and application.</p> <p>It’s time for your next chapter. Discover your story with Adaptive.<br><br></p></div><p><strong>Position Overview</strong></p> <p>We are looking to hire a Senior Data Architect to help define, mature, and scale our enterprise data architecture. This role will focus on designing trusted, well-governed, reusable, and scalable data assets that support business operations, reporting, analytics, data products, system integration, and emerging AI use cases.</p> <p>The Senior Data Architect will partner with data engineering, application teams, analytics, security, governance, AI/ML, and business stakeholders to establish practical architecture standards, improve data usability, and ensure critical data sources are well-modeled, documented, discoverable, secure, and fit for purpose.</p> <p>This role is critical to building a strong data foundation that enables consistent decision-making, operational efficiency, advanced analytics, and future-ready technology capabilities.</p> <p><strong>Key Responsibilities and Essential Functions</strong></p> <ul> <li>Define and maintain data architecture standards, principles, patterns, and best practices across key business and data domains.</li> <li>Assess and rationalize critical data sources based on business value, quality, ownership, usage, sensitivity, lifecycle, and strategic importance.</li> <li>Design conceptual, logical, and physical data models that support operational systems, analytical platforms, reporting, data products, and integration needs.</li> <li>Establish reusable data structures, canonical data models, reference data patterns, and integration approaches to improve consistency across systems.</li> <li>Define architecture patterns for data ingestion, transformation, storage, consumption, sharing, retention, and lifecycle management.</li> <li>Partner with data engineering teams to translate architecture into scalable pipelines, curated datasets, data marts, reusable services, and platform-ready data assets.</li> <li>Drive standards for metadata, lineage, business definitions, data ownership, data quality rules, documentation, and data observability.</li> <li>Support governance practices by helping define how data should be classified, secured, cataloged, retained, and accessed.</li> <li>Work with application and platform teams to improve interoperability across source systems, APIs, data warehouses, data lakes, lakehouses, and cloud platforms.</li> <li>Guide teams in designing reusable and trusted data assets that can serve multiple consumption patterns, including reporting, analytics, automation, machine learning, and AI-enabled solutions.</li> <li>Provide architecture guidance during solution design, data quality investigations, platform modernization, and data integration initiatives.</li> <li>Communicate architecture decisions, tradeoffs, standards, and design recommendations clearly to technical teams and senior stakeholders.</li> <li>All other duties as assigned</li> </ul> <p><strong>Position Requirements (Education, Experience, Other)</strong></p> <p><strong>Required</strong></p&