Principal Data Architect - Office of the CTO

Principal Data Architect, Office of the CTOThe Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.The Office of the Chief Technology Officer (OCTO) drives computational and technological innovation across the Allen Institute by advancing engineering excellence, developing scalable technology solutions, and enabling scientific discovery. Through strategic partnerships and technical leadership, OCTO accelerates research, enhances operational efficiency, and fosters collaboration in support of the Institute's mission.We are seeking a highly motivated Principal Data Architect to lead the organization and curation of the Allen Institute's extensive, multimodal biological data assets, spanning over 20 years and multiple petabytes of data across neuroscience, cell science, immunology, and more. This role operates as the primary owner of data governance, stewardship, and metadata practices across the Institute, developing and establishing standards, driving adoption, and advancing a centralized approach to data cataloging and lifecycle management. Working across scientific programs and technology teams, the Principal Data Architect will improve data discoverability and responsible data use, ensuring alignment with institutional and regulatory standards. Through this work, the role will help shape a sustainable data ecosystem that supports open science while balancing governance, security, and operational efficiency.At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.Essential FunctionsEstablish and implement Institute-wide data and metadata standards to improve data discoverability, usability, and consistency across scientific and technology teams, influencing technical direction and decision-making across domainsOwn and advance the Institute's data governance and stewardship program, including data cataloging, and lifecycle management practices, operating with a high degree of autonomy as a recognized subject matter expertDevelop guidance and best practices for data ETL, lifecycle management, including creation, storage, archiving, and retirement of datasets aligned with scientific missionDrive adoption of data governance practices across programs, ensuring alignment and sustained use of standards and tools, with impact measured through uptake and effectivenessEnsure data governance practices align with relevant NIST, HIPAA, and institutional data security standards where applicable. Work with technology, security, and legal teams to help define processes for managing sensitive or restricted datasets and implement appropriate safeguards and compliance practicesLead the development and evolution of a central metadata standard for large-scale, multimodal biological data. Influence decisions related to data storage, infrastructure, and cost optimization, helping balance scientific priorities with resource constraintsServe as a technical and strategic advisor to scientific, engineering, and operational leaders on data management practices, tradeoffs, and long-term sustainabilityLead high-impact, cross-functional initiatives to improve data accessibility, reuse, and long-term sustainability across the InstituteRequired Education and ExperienceBachelor's Degree in Information and Library Science, Data Management, Computer Science, or a related field; or equivalent combination of degree and relevant experienceMinimum of 7 years of relevant experience in data governance, data stewardship, or large-scale data management environmentsDeep expertise in metadata standards, data lifecycle management, and governance frameworksExperience working across complex, multi-stakeholder environments, ideally in scientific or research settingsStrong ability to influence without authority and translate complex concepts across diverse audiencesFamiliarity with scientific datasets, ideally in biology or biomedical research environments, including high resolution microscopy, genomics, physiology, and videoDeep knowledge of data governance frameworks and regulatory standards, including NIST and/or HIPAA complianceUnderstanding of cloud storage environments, data infrastructure, or research computing ecosystemsPreferred Education and ExperienceMaster's degree or Ph.D. in Information Science, Data Management, or a related field, with over 5 years of experience in large data-intensive environments, ideally in a scientific or academic research settingAdvanced skills in developing and applying data valuation frameworks to prioritize data retention and decommissioning, particularly within budget-constrained environmentsA track record of success aligning data management practices to scientific and technical goals in a complex, multi-stakeholder environmentSkilled in navigating and influencing at the intersection of technical and scientific teams, with the ability to communicate complex data management principles clearly to diverse audiencesFamiliarity with information management principles, such as metadata standards (e.g., FAIR data principles) and taxonomy development for data catalogingExperience with archival standards, data preservation techniques, and regulatory frameworks related to scientific dataAbility to work collaboratively across scientific, technical, and operational teamsStrong organizational and communication skills, with the ability to translate technical and policy concepts across diverse audiencesProven experience using relevant AI technologies to find and work with data (LLMs, vector search, MCPs, agentic search).Physical DemandsFine motor movements in fingers/hands to operate computers and other office equipmentPosition Type/Expected Hours of WorkThis role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with flexibility to work remotely on a limited basis.TravelOccasional travel to national or international conferencesAdditional Comments**Please note, this opportunity offers relocation assistance****Please note, this opportunity may offer work visa sponsorship**Annualized Salary Range$167,850 - $209,750** Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.