Senior Data Architect

🕒 Julho 24

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $132.000 - $198.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Adaptive Biotechnologies Corp.

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2009

🏥 Saúde

🧬 Biotecnologia

⚕️ Seguro de Saúde

💰 $125.000.000 Post-IPO Debt em 2022-09

Healthcare • Biotechnology • Healthcare Insurance

A Adaptive Biotechnologies Corp. é líder em medicina guiada pelo sistema imunológico, com o objetivo de revolucionar a detecção e o tratamento de doenças. Utilizando o sistema imunológico adaptativo, a empresa desenvolve soluções diagnósticas e terapêuticas impulsionadas por sua inovadora plataforma de Medicina Imunológica. Oferecem diagnósticos clínicos, particularmente em testes de Doença Residual Mínima (MRD), e se envolvem na descoberta de medicamentos e desenvolvimento terapêutico através de tecnologias de imunosequenciamento adaptativo. Seus serviços para biofarmacêuticas apoiam a progressão de ensaios clínicos e o desenvolvimento de medicamentos transformadores. A Adaptive Biotechnologies aproveita a complexa biologia do sistema imunológico, decodificando-a para avançar na ciência médica e melhorar os resultados para os pacientes.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• equity grant • bonus eligible