Allen Institute for Brain Science

Principal Data Architect - Office of the CTO

Allen Institute for Brain Science$167K — $209K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a related field or equivalent experience
  • 7+ years in data governance or management
  • Expertise in metadata standards and lifecycle management
  • Experience in multi-stakeholder scientific environments
  • Ability to influence diverse audiences
  • Knowledge of regulatory standards like NIST and HIPAA
  • Familiarity with cloud storage and research computing ecosystems

Responsibilities

  • Establish data and metadata standards across the Institute
  • Own and advance data governance and stewardship programs
  • Develop guidance for data management practices
  • Drive adoption of data governance standards
  • Ensure compliance with data security standards
  • Lead development of central metadata standards
  • Serve as strategic advisor on data management across teams
  • Manage initiatives to enhance data accessibility and sustainability

Benefits

  • Medical, dental, and vision insurance
  • Basic life insurance
  • 401k plan enrollment
  • Paid time off
  • Relocation assistance available
  • Work visa sponsorship may be offered
Full Job Description
Principal Data Architect, Office of the CTO

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.

Essential Functions
  • Establish 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 domains
  • Own 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 expert
  • Develop guidance and best practices for data ETL, lifecycle management, including creation, storage, archiving, and retirement of datasets aligned with scientific mission
  • Drive adoption of data governance practices across programs, ensuring alignment and sustained use of standards and tools, with impact measured through uptake and effectiveness
  • Ensure 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 practices
  • Lead 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 constraints
  • Serve as a technical and strategic advisor to scientific, engineering, and operational leaders on data management practices, tradeoffs, and long-term sustainability
  • Lead high-impact, cross-functional initiatives to improve data accessibility, reuse, and long-term sustainability across the Institute

*Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.*

Required Education and Experience
  • Bachelor's Degree in Information and Library Science, Data Management, Computer Science, or a related field; or equivalent combination of degree and relevant experience
  • Minimum of 7 years of relevant experience in data governance, data stewardship, or large-scale data management environments
  • Deep expertise in metadata standards, data lifecycle management, and governance frameworks
  • Experience working across complex, multi-stakeholder environments, ideally in scientific or research settings
  • Strong ability to influence without authority and translate complex concepts across diverse audiences
  • Familiarity with scientific datasets, ideally in biology or biomedical research environments, including high resolution microscopy, genomics, physiology, and video
  • Deep knowledge of data governance frameworks and regulatory standards, including NIST and/or HIPAA compliance
  • Understanding of cloud storage environments, data infrastructure, or research computing ecosystems

Preferred Education and Experience
  • Master'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 setting
  • Advanced skills in developing and applying data valuation frameworks to prioritize data retention and decommissioning, particularly within budget-constrained environments
  • A track record of success aligning data management practices to scientific and technical goals in a complex, multi-stakeholder environment
  • Skilled in navigating and influencing at the intersection of technical and scientific teams, with the ability to communicate complex data management principles clearly to diverse audiences
  • Familiarity with information management principles, such as metadata standards (e.g., FAIR data principles) and taxonomy development for data cataloging
  • Experience with archival standards, data preservation techniques, and regulatory frameworks related to scientific data
  • Ability to work collaboratively across scientific, technical, and operational teams
  • Strong organizational and communication skills, with the ability to translate technical and policy concepts across diverse audiences
  • Proven experience using relevant AI technologies to find and work with data (LLMs, vector search, MCPs, agentic search).

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work
  • This 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.

Travel
  • Occasional travel to national or international conferences

Additional Comments
  • **Please note, this opportunity offersrelocation 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.

Benefits

Employees (and their families) are eligible to enroll in benefits per eligibility rules outline in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

About Allen Institute for Brain Science

The Allen Institute for Brain Science is a division of the Allen Institute, based in Seattle, Washington, that focuses on bioscience research. Founded in 2003, it is dedicated to accelerating the understanding of how the human brain works. With the intent of catalyzing brain research in different areas, the Allen Institute provides free data and tools to scientists. Started with $100 million in seed money from Microsoft co-founder and philanthropist Paul Allen in 2003, the institute tackles projects at the leading edge of science—far-reaching projects at the intersection of biology and technology. The resulting data create free, publicly available resources that fuel discovery for countless researchers. Hongkui Zeng is the director of the institute.
Learn more about Allen Institute for Brain Science

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