Senior Data Architect

Remote (WFH)

At Adaptive, we’re Powering the Age of Immune Medicine.  Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated.

As an Adapter, you’ll have the opportunity to make a difference in people’s lives. With Adaptive, you’ll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application.

It’s time for your next chapter. Discover your story with Adaptive.

Position Overview

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.

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.

This role is critical to building a strong data foundation that enables consistent decision-making, operational efficiency, advanced analytics, and future-ready technology capabilities.

Key Responsibilities and Essential Functions

  • Define and maintain data architecture standards, principles, patterns, and best practices across key business and data domains.
  • Assess and rationalize critical data sources based on business value, quality, ownership, usage, sensitivity, lifecycle, and strategic importance.
  • Design conceptual, logical, and physical data models that support operational systems, analytical platforms, reporting, data products, and integration needs.
  • Establish reusable data structures, canonical data models, reference data patterns, and integration approaches to improve consistency across systems.
  • Define architecture patterns for data ingestion, transformation, storage, consumption, sharing, retention, and lifecycle management.
  • Partner with data engineering teams to translate architecture into scalable pipelines, curated datasets, data marts, reusable services, and platform-ready data assets.
  • Drive standards for metadata, lineage, business definitions, data ownership, data quality rules, documentation, and data observability.
  • Support governance practices by helping define how data should be classified, secured, cataloged, retained, and accessed.
  • Work with application and platform teams to improve interoperability across source systems, APIs, data warehouses, data lakes, lakehouses, and cloud platforms.
  • 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.
  • Provide architecture guidance during solution design, data quality investigations, platform modernization, and data integration initiatives.
  • Communicate architecture decisions, tradeoffs, standards, and design recommendations clearly to technical teams and senior stakeholders.
  • All other duties as assigned

Position Requirements (Education, Experience, Other)

Required

  • Bachelors with 7+ (or Masters with 5+) years of relevant experience in data architecture, data modeling, data engineering, data integration, analytics architecture, or related data disciplines
  • Strong experience designing data architectures across operational systems, analytical platforms, data warehouses, data lakes, lakehouses, and cloud-based data ecosystems.
  • Deep understanding of data modeling techniques, including conceptual, logical, and physical modeling, dimensional modeling, canonical modeling, and domain-oriented modeling.
  • Proven ability to design trusted, governed, reusable data assets for business operations, reporting, analytics, data integration, and data product use cases.
  • Strong knowledge of data quality, metadata management, lineage, cataloging, master data, reference data, and access control practices.
  • Experience defining architecture patterns for batch, near-real-time, API-driven, and event-driven data integration.
  • Experience working with modern cloud and data platforms such as Snowflake, Databricks, Azure, AWS, GCP, Informatica, dbt, or similar technologies.
  • Ability to collaborate effectively across data engineering, application, analytics, security, governance, AI/ML, and business teams.
  • Strong communication skills with the ability to explain complex data concepts to senior technical and business stakeholders.
  • Ability to balance long-term architecture direction with practical implementation guidance.
  • Experience creating architecture artifacts such as data flow diagrams, domain models, source-to-target mappings, architecture decision records, and data standards documentation.

Preferred

  • 10+ years of experience in data architecture, data modeling, data engineering, data integration, analytics architecture, or related data disciplines
  • Experience supporting AI, machine learning, generative AI, LLM, RAG, or AI assistant initiatives as downstream consumers of governed data assets.
  • Familiarity with AI-enabling data concepts such as semantic layers, embeddings, vector databases, semantic search, knowledge graphs, or ontology design.
  • Experience with data product thinking, domain-oriented data ownership, or data mesh concepts.
  • Experience in regulated environments with privacy, security, compliance, audit, or data protection requirements.
  • Experience with platform modernization, migration from legacy data platforms, or simplification of complex data ecosystems.

#LI-Remote

Compensation

Salary Range: $132,000 - $198,000

Possible “other compensation” elements to include:

  • equity grant
  • bonus eligible

ALERT: Malicious groups posing as Adaptive employees have recently used fraudulent email aliases to extend employment offers, provide fake documents, and request sensitive personal and financial information. Legitimate Adaptive employment opportunities are initiated through our careers page and extended after multiple interviews with verified employees. Adaptive does not ask new hires to purchase anything out-of-pocket, including home office supplies and equipment. 

Interested in this position, but don’t meet all the requirements?  Adaptive is committed to building diverse, equitable, and inclusive teams across our organization.  Please consider applying even if your experience doesn’t match all the qualifications; you may be the exact candidate we’re searching for!

Adaptive is not currently sponsoring candidates requiring work authorization support for this position.

Adaptive’s posted compensation information includes a base salary (or hourly rate) range and summary of other available total compensation. The base salary range represents a minimum-to-maximum salary (or hourly rate) available to candidates upon extension of offer. Base salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate’s ability to meet minimum qualifications (skills/experience/education), a candidate’s ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Listed base salary is exclusive of bonus, commission, equity, differential pay, benefits, and other incentives.

Adaptive's benefits at-a-glance.

Adaptive Biotechnologies is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Please refer the “Know Your Rights: Workplace Discrimination is Illegal” Poster for more information. If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email hr@adaptivebiotech.com.

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